U. Glaeser

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Unlike the Defoe, the IA-64 architecture uses a fixed bundled instruction format. Each MultiOp consists of one or more 128 bit bundles. Each 128 bit bundle consists of three operations and a template. Unlike the Defoe where the opcode in each operation specifies a type field, the template encodes commonly used combinations of operation types. Allowed operation types are shown in Table x. Since the template field is only 5 bits wide, bundles do not support all possible combinations of instruction types. Much like the Defoe’s stop bit, in the IA-64, some template codes specify where in the bundle a MultiOp ends. In IA-64 terminology, MultiOps are called instruction groups. Like Defoe, the IA-64 uses a decoupling buffer to improve its issue rate. Though the IA-64 registers are nominally 64 bits wide, there is a hidden 65th bit called NaT (Not a Thing). This is used to support speculation. There are 128 general purpose registers and another set of 128, 82 bit wide floating point registers. Similar to the Defoe, all operations on the IA-64 are predicated. However, the IA-64 has 64 predicate registers. The IA-64 register mechanism is more complex than the Defoe’s because it implements support for software pipelining using a method similar to the overlapped loop execution support pioneered by Bob Rau and implemented in the Cydra 5. On the IA-64, general-purpose registers GPR0 to GPR31 are fixed. Registers 32–127 can be renamed under program control to support a register stack or to do modulo scheduling for loops. When used to support software pipelining, this feature is called register rotation. Predicate registers 0–15 are fixed, while predicate registers 16–63 can be made to rotate in unison with the general purpose registers. The floating point registers also support rotation. A modulo scheduled loop is similar to a pipelined functional unit. In a pipelined functional unit, each stage can hold a computation and successive items of data may be applied to the functional unit before previous data is completely processed. In a similar manner, in a modulo scheduled loop, the loop body may be logically split into several stages. The compiler can schedule multiple iterations of a loop in a pipelined manner as long as data outputs of one stage flow into the inputs of the next stage in a pipeline. Traditionally, this required unrolling the loop and renaming the registers used in successive iterations. The IA-64 reduces the overhead of such a loop and avoids the need for register renaming by rotating registers forward. After one rotation, the value that was in register X will be found in register X + 1. When used in conjunction with predication, this allows a natural expression of software pipelines similar to their hardware counterparts. The IA-64 supports software directed control and data speculation. To do control speculation, the compiler moves loads before its controlling branch. The load is then flagged as a speculative load. The processor does not signal exceptions on a speculative load. If the controlling branch is later taken, the compiler uses a special check operation to see if an exception occurred. If an exception occurred, the check operation transfers control to exception handling code. To support data speculation, the processor supports a special kind of load called an advance load. If the compiler cannot disambiguate between the addresses of a store and a later load, it can issue an advance load ahead of the store. The processor uses a special hardware structure called the ALAT to keep track of whether a later store wrote to the same location as the advance load. Later, in the original location of the load, the compiler uses a special check operation to see if a store invalidated the result of an advance load. If so, the check operation transfers control to special recovery code. Similar to the Defoe, the IA-64 also supports both static and dynamic hints for branches. It also makes use of hardware branch prediction. There are also hints in load and store instructions that inform the processor about the cache behavior of a particular memory operation. The IA-64 also includes SIMD instructions suitable for media processing. Special multimedia instructions similar to the MMX and SSE extensions of 80x86 processors treat the contents of a general purpose register as two 32-bit, four 16-bit, or eight 8-bit operands and operate on them in parallel. To improve performance, the IA-64 architecture includes several features that are not found in a traditional VLIW architecture. The Intel Itanium processor is probably the most complex VLIW ever designed. It is a matter of debate whether some of the control complexity of the IA-64 is justifiable in a VLIW architecture and whether the enhancements actually improve performance enough to justify their complexity. Next, we will look at a simpler VLIW processor that has been designed with a totally different goal—that of reducing power consumption. © 2002 by CRC Press LLC
The Transmeta Crusoe Processor Even though very little information is publicly available at the time of this writing about the architecture of the Crusoe series of processors from Transmeta Corp., it represents a very interesting point in the history of VLIW processors. Traditionally, VLIW processors have been designed with the goal of maximizing ILP and performance. The designers of the Crusoe on the other hand needed to build a processor with moderate performance compared to current desktop processors, but with the additional restriction that their CPU consume very little power since it is intended for mobile applications and that it should be able to efficiently emulate the ISA of other processors, particularly the 80x86 and the Java virtual machine. The designers came to the conclusion that features like out of order issue and dynamic scheduling consumed more power than could justify the performance benefits they provided. They set out replace such complex ways of gaining ILP with simpler and more power efficient alternatives. The end result was a simple VLIW architecture. Long instructions on the Crusoe are either 64 or 128 bits. A 128-bit instruction word called a molecule in Transmeta parlance encodes four operations called atoms. The molecule format directly determines how operations get routed to functional units. The Crusoe has two integer units, a floating point unit, a load/store unit, and a branch unit. Similar to the Defoe, the Crusoe has 64 general-purpose registers and supports strictly in order issue. Unlike the Defoe, which uses predication, the Crusoe uses condition flags, which are identical to those of the x86 for ease of emulation. Binary x86 programs, firmware, and operating systems are emulated with the help of a run time binary translator called code morphing software. This makes VLIW software compatibility a non issue. Only the native code morphing software needs to be changed when the Crusoe architecture or ISA changes. As a power and performance optimization, the hardware and software together maintain a cache of translated code. The translations are instrumented to collect execution frequencies and branch history, and this information is fed back to the code morphing software to guide its optimizations. To correctly model the precise exception semantics of the x86 processor, the part of the register file that holds x86 register state is duplicated. The duplicate is called a shadow copy. Normal operations only affect the original registers. At the end of a translated section of code, a special commit operation is used to copy the working register values to the shadow registers. If an exception happens while executing a translated unit, the run time software uses the shadow copy to recreate the precise exception state. Store operations are implemented in a similar manner using a store buffer. The Crusoe provides alias detection hardware and data speculation primitives, which are quite similar to those of the IA-64. Scheduling Algorithms for VLIW The difficulty of programming VLIW processors by hand should be evident even from the simple Defoe programming examples. One reason programming VLIWs is more difficult than writing code for a super scalar processor is that the program for a super scalar processor is inherently sequential and it is left to the hardware to extract parallelism from the sequential program. On the other hand, when generating code for a VLIW processor the assembly language programmer or the compiler is faced with the task of extracting parallelism from a sequential algorithm and scheduling independent operations concurrently. For this reason, instruction scheduling algorithms are critical to the performance of a VLIW processor. So, we describe three important scheduling algorithms next starting with the trace scheduling algorithm which started off the VLIW style of architectures. Trace Scheduling Compilers for the first ILP processors used a 3-phase method to generate code. The passes were: • Generate a sequential program. Analyze each basic block in the sequential program for independent operations. • Schedule independent operations within the same block in parallel if sufficient hardware resources are available. • Move operations between blocks when possible. © 2002 by CRC Press LLC
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© 2002 by CRC Press LLC
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© 2002 by CRC Press LLC Fernanda p
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Locating Your Topic Several avenues
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Krste Asanovic Massachusetts Instit
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7 8 9 Architectures for Low Power P
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SECTION VII Communications and Netw
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45 Testing of Synchronous Sequentia
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Hiroshi Iwai Tokyo Institute of Tec
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FIGURE 1.2 FIGURE 1.3 © 2002 by CR
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1.2 Downsizing below 0.1 © 2002 by
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FIGURE 1.9 Subthreshold leakage cur
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FIGURE 1.13 Epitaxial channel [9].
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gate length reduction was accelerat
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of the prediction. Until only sever
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FIGURE 1.22 Clarke number of elemen
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1.5 Source and Drain Figure 1.25 sh
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FIGURE 1.27 Retrograde profile. FIG
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TABLE 1.6 Trend of Interconnect by
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TABLE 1.9a Trend of DRAM Cell: Stac
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FIGURE 1.36 Trend of gate length. F
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References 1. D. Kahng and M. M. At
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40. B. H. Lee, R. Choi, L. Kang, S.
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outputs of the gate regardless of t
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FIGURE 2.4 circuit. This is the bas
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FIGURE 2.8 Two different realizatio
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FIGURE 2.12 Multifunction circuitry
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Dynamic Logic Circuits The basic id
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transistors in the pull-down networ
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In Fig. 2.21(d), the cross-coupled
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FIGURE 2.23 Different configuration
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In some literature, the authors lik
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Concluding Remarks The feature size
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FIGURE 2.30 Other pass-transistor c
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FIGURE 2.34 Dual-rail, pass-transis
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Shannon expansion, as shown below,
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FIGURE 2.41 Logic circuit for Out =
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FIGURE 2.45 Example decomposed BDD.
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FIGURE 2.50 Diffusion-area sharing
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FIGURE 2.54 Relationship between co
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29. Shiple, T. R., Hojati, R., Sang
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FIGURE 2.58 DTMOS devices: (a) stan
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the design into a BDD representatio
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FIGURE 2.63 Circuit diagram of 2-in
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FIGURE 2.67 Synthesis of 2-input AN
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pass-transistor logic, constrained
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16. Bryant, R., Graph-based algorit
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As shown in Fig. 2.79, the MOSFET d
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n + SiO 2 FIGURE 2.80 No reverse bo
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structures are a powerful solution
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SiO 2 Epitaxial Si Double Layered P
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PD-SOI Application to High-Performa
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LO FIGURE 2.91 History effects. sta
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weight, lower cost, a wireless inte
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TABLE 2.7 Performance of sub-1 V MT
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X X FIGURE 2.99 1 V A/D converter u
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When the communication range is 10
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13. Nakashima, S., et al., Thicknes
Page 122 and 123: FIGURE 3.1 Conventional ECL circuit
Page 124 and 125: FIGURE 3.4 FIGURE 3.5 IPULL-DOWN, f
Page 126 and 127: FIGURE 3.7 V REG voltage regulator
Page 128 and 129: FIGURE 3.10 Layout of inverter gate
Page 130 and 131: FIGURE 3.14 Power consumption versu
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Page 134 and 135: FIGURE 3.21 Maximum data rate vs. V
Page 136 and 137: John C. McCallum National Universit
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Page 140 and 141: The improvements in line widths, ch
Page 142 and 143: performance. Extensive lists of SPE
Page 144 and 145: TABLE 4.6 Functions of Memory and S
Page 146 and 147: Memory Price ($/MB) FIGURE 4.3 Cost
Page 148 and 149: TABLE 4.8 Disk Drive Characteristic
Page 150 and 151: 4.6 Summary The performance of comp
Page 152 and 153: 53. Curnow, H. J., and Wichmann, B.
Page 154 and 155: Computer Systems and Architecture
Page 156 and 157: advances that have been made in dev
Page 158 and 159: Server Types Servers are optimized
Page 160 and 161: Total Cost of Ownership Another con
Page 162 and 163: edundant memory-bit steering, and s
Page 164 and 165: majority of the users. Hardware opt
Page 166 and 167: processor implementations. In later
Page 168 and 169: FIGURE 5.7 an operand. For larger c
Page 170 and 171: Example 2 This example contrasts th
Page 174 and 175: This 3-phase approach fails to expl
Page 176 and 177: 6. Scott Rixner, William J. Dally,
Page 178 and 179: Shared-memory vector architectures
Page 180 and 181: The vector ISA usually fixes the ma
Page 182 and 183: FIGURE 5.12 A vector unit construct
Page 184 and 185: use of loops optimized for certain
Page 186 and 187: 9. Espasa, R., Advanced Vector Arch
Page 188 and 189: thread management (including run-ti
Page 190 and 191: In the message passing model, inter
Page 192 and 193: multithreaded hardware, possibly by
Page 194 and 195: synchronization) and usually contai
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Page 198 and 199: FIGURE 5.16 When a load request is
Page 200 and 201: list a few helpful references to wh
Page 202 and 203: 38. S. Wallace, B. Calder, and D. T
Page 204 and 205: Of course, SIMD machines have limit
Page 206 and 207: computation, it will decrease execu
Page 208 and 209: FIGURE 5.19 An 8 × 8 baseline netw
Page 210 and 211: Since then, we have seen constant e
Page 212 and 213: Stack: Data: Text: Virtual Space FI
Page 214 and 215: FIGURE 5.25 Shared memory. Shared m
Page 216 and 217: 0 2 GB Text Init. Data Bss Heap . .
Page 218 and 219: In general, if the necessary transl
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Studies of Instruction-Level Parall
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Modern Designs Most high-performanc
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The principle of register renaming
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FIGURE 6.2 issued into the RS, (ii)
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Issue Dispatch FIGURE 6.4 The proce
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FIGURE 6.6 Scope of register renami
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FIGURE 6.9 State transition diagram
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Thus, the maximal number of instruc
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In addition, if rename buffers are
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it, whose role will be explained su
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As Fig. 6.13 shows, the latest proc
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for recovery. Both processors incor
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FIGURE C. The principle of direct i
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13. White, S. and Reysa, J., PowerP
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FIGURE 6.14 A branch flowing throug
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is that mispredictions limit the pr
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fetch engine to identify which inst
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FIGURE 6.17 A schematic for a bimod
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FIGURE 6.20 A schematic for a GAg g
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FIGURE 6.22 A schematic for a hybri
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time this branch is seen, those bit
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FIGURE 6.23 Branch prediction accur
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11. Price, C., MIPS IV Instruction
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transporting digital bits, whereas
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FIGURE 6.25 The system architecture
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Finally, because the main task of n
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Pradip Bose IBM T. J. Watson Resear
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frequency © 2002 by CRC Press LLC
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The “mips” metric for performan
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Hence, in this paper, we do not dwe
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FIGURE 7.4 Parallel SIMD architectu
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dynamic prediction of such idle mod
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FIGURE 7.7 High-level block-diagram
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(measured as a performance over pow
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Steady-state BIPS FIGURE 7.9 Perfor
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8. Larson, A. G., “Cost-effective
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Jozo J. Dujmović San Francisco Sta
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x FIGURE 8.1 Movement of the disk I
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The critical distance x ∗ is Ther
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Hence, the average seek time for th
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FIGURE 8.4 Four-parameter exponenti
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Access Time [ms] 2 0 0 FIGURE 8.6 M
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TABLE 8.1 Classification of Eight B
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The traditional load independent me
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Response Time [seconds] 290 270 250
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FIGURE 8.14 Prediction errors e(p)
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8.2 Performance Evaluation: Techniq
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is generally the most important mea
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tool to profile programs on the Alp
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driven simulation has two major pro
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A variety of profiling tools exist
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SPLASH, the SPLASH suite was create
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different types and complexity eith
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Table 8.8 provides sources for the
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37. MediaBench benchmarks, http://w
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(a) Instruction Cache (b) Trace Cac
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PE 0 Local Register File local bypa
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The large trace processor instructi
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11. S. Melvin, M. Shebanow, and Y.
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complement numbers. Sign magnitude
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where ak, bk, and ck are the inputs
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k + 1, etc. Extending to a third st
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a 12:15 b 12:15 4-Bit RCA s 12:15 F
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FIGURE 9.8 Two’s complement subtr
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FIGURE 9.10 Unsigned 6 by 6 array m
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Digit Recurrent Division The most c
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FIGURE 9.14 Nonrestoring division.
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The Newton-Raphson division algorit
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FIGURE 9.18 Floating-point addition
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9.2 Fast Adders and Multipliers Gen
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FIGURE 9.20 Half-adder circuit. is
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gi pi FIGURE 9.22(b) Carry skip cir
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Assuming that a single level of the
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Array-Type Multiplier The simplest
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p1i,j p2i,j p3i,j p4i,j FIGURE 9.27
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The partial product PP j is to be c
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The sum SGN of the whole extended b
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FIGURE 9.31 54 × 54-bit parallel m
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6. Svensson, C. and Tjarnstrom, R.,
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Design Techniques III 10 Timing and
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FIGURE 10.1 Typical chip interface.
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Loop Components PLLs and DLLs share
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delay is some fraction of the input
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esults from the voltage across the
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© 2002 by CRC Press LLC TABLE 10.2
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db(H( ω)) FIGURE 10.6 PLL closed-l
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ω )/G O) db(T(ω ph(T( )/π) FIGUR
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Phase Margin (deg) FIGURE 10.10 PLL
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FIGURE 10.11 Measured PLL jitter hi
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FIGURE 10.13 DLL output jitter sens
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FIGURE 10.18 PLL output jitter sens
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Active supply filters employ amplif
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FIGURE 10.19 Single-ended delay ele
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Frequency (GHz) FIGURE 10.23 Freque
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FIGURE 10.25 Push-pull charge pump.
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Circuit Summary In general, all DLL
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5. T. Lee, et al., “A 2.5V CMOS D
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introduced in [3], is used to repre
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FIGURE 10.31 Setup and hold time ti
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FIGURE 10.34 Max-timing diagrams fo
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FIGURE 10.37 Time borrowing for sin
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FIGURE 10.39 Max-timing for single-
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Min-Timing In contrast to max-timin
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FIGURE 10.46 Min-timing diagrams fo
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FIGURE 10.49 Edge-triggered, flip-f
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FIGURE 10.51 FIGURE 10.52 Max-timin
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FIGURE 10.53 Transparent-high latch
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FIGURE 10.57 Complementary TSPC tra
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FIGURE 10.61 A positive, edge-trigg
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FIGURE 10.66 Pulsed latches. FIGURE
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assigned, based on the subcircuit t
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FIGURE 10.71 Scan chain for dual-ph
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and SEB, which are complementary, c
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when used as a flip-flop, the NAND3
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FIGURE 10.75 Integrated memory for
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Memory Cell Bit# Bit FIGURE 10.78 A
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FIGURE 10.80 Modeling process varia
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FIGURE 10.83 A column circuit. FIGU
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advantage of this circuit, compared
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K. Wayne Current University of Cali
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11.2 Nonvolatile Multiple-Valued Me
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Multiple-Valued EEPROM and Flash Me
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direct properly scaled and logicall
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Current comparators are a critical
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FIGURE 11.4 Current-mode CMOS quate
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FIGURE 11.6 Current-mode CMOS quate
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observed with these circuits are ab
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FIGURE 11.11 Current-mode CMOS quat
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FIGURE 11.12 Current-mode CMOS latc
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FIGURE 11.14 Current-mode CMOS anal
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esults confirm the DC transfer func
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19. T. T. Dao, “Threshold I2L and
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FIGURE 12.1 Device technologies use
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selected depending on the number of
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Architecture of Newer Generation FP
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FIGURE 12.6 An example of a simple
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tools, the + 1 operation is a speci
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download the programming data to th
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FIGURE 13.1 High-performance microp
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FIGURE 13.4 TABLE 13.1 combinationa
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accurate wire modelling while limit
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FIGURE 13.6 Dual-rail, multiple-out
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FIGURE 13.10 Effect of output inver
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FIGURE 13.11 Unfooted dynamic 4:1 m
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(4) the limit of designers to manag
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© 2002 by CRC Press LLC IV Design
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FIGURE 14.1 FIGURE 14.2 newer semic
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The cost impact of power consumptio
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In any case, the move toward “Gre
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This static current is obviously un
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14.2 Power Estimation As we saw in
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lock as a function of various param
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FIGURE 14.8 Sleep transistors to co
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FIGURE 14.12 Data enabling. In addi
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Power Reduction through CAD Tools P
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AMPS AMPS is a circuit power optimi
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Masayuki Miyazaki Hitachi, Ltd. 15.
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15.3 Supply Voltage Management Supp
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FIGURE 15.4 MT-CMOS balloon circuit
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FIGURE 15.9 EVT-CMOS circuit design
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FIGURE 15.12 VT-CMOS block diagram
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FIGURE 15.15 SA-V t CMOS scheme wit
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FIGURE 15.17 Floating-point datapat
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Vivek De Intel Corporation Ali Kesh
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FIGURE 16.3 n-channel ID vs. VG sho
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Gate-Induced Drain Leakage (I 4) GI
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FIGURE 16.7 Two-nMOS stack in a two
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FIGURE 16.11 Four-input NAND NMOS s
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FIGURE 16.12 Distribution of standb
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Die count FIGURE 16.16 (a) Adaptive
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due to adaptive body bias worsens w
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Thomas D. Burd University of Califo
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the parameter to be maximized since
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17.3 Dynamically Varying Voltage If
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The voltage converter required for
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FIGURE 17.7 DVS improvement for UI
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FIGURE 17.10 Measured throughput vs
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FIGURE 17.12 Sources of noise margi
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FIGURE 17.15 Ring oscillator adapti
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FIGURE 17.17 Sense-amp delay variat
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Christian Piguet CSEM: Centre Suiss
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Some Basic Rules There are some bas
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TABLE 18.2 Looped 8-bit Multiply Pr
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FIGURE 18.4 new architecture paradi
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FIGURE 18.6 FIGURE 18.7 the second
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FIGURE 18.9 FIGURE 18.10 With latch
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18.6 Low-Power Memories As memories
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connected to the main bitline (only
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is today only about a factor of 2 d
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Katsunori Seno SONY Corporation 19.
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FIGURE 19.2 FIGURE 19.3 This is a c
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FIGURE 19.6 FIGURE 19.7 FPGA sacrif
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FIGURE 19.9 RAWn precharge FIGURE 1
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a fixed given standard. References
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Hendrawan Soeleman Purdue Universit
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for a short period of time when bot
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Total Average Power Putting togethe
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Signal Probability Calculation In c
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Example Given y = x 1 + x 2. Find P
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A B F FIGURE 20.7 Unfactorized and
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etween successive transitions is a
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FIGURE 20.9 A logic gate and its co
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Results Using Probabilistic Techniq
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FIGURE 20.12 Probabilistic and stat
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14. VLSI Microprocessors: A Guide t
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0 V to a voltage V in time T throug
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a small fraction of circuit nodes t
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FIGURE 21.6 (a) E-R latch, (b) timi
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FIGURE 21.8 Potential E-R latch for
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The only difference between the two
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FIGURE 21.14 (a) Clock-powered stat
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FIGURE 21.17 The three drivers used
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FIGURE 21.20 Energy-delay product (
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FIGURE 21.22 AC-1 clock-driver sche
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clock-powered nodes accounted for 8
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Two generations of clock-powered mi
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29. Athas, W. C., Tzartzanis, N., M
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Wayne Wolf Princeton University 22.
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so a CPU could be built in reconfig
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optimized processes. Although embed
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FIGURE 22.4 they are most useful wh
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• How should processes be allocat
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25 memory system activity. If the c
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Jonathan W. Valvano University of T
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FIGURE 23.2 6808, I/O ports A and B
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personnel so that they are proficie
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BDM can provide the ability to obse
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minor modifications to the finite s
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Many components are included in a d
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will saturate resulting in a bang-b
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Two approaches are used to synchron
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Fred J. Taylor University of Florid
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The output of a linear system havin
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FIGURE 24.2 Effects of windowing an
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frequency range ±f Nyquist = ±f s
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performance, complexity, and precis
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overflows of intermediate sums. Tha
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24.7 Applications “DSP” has bec
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DSP (Digital Signal Processor) or D
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PC as a Terminal (Modem) The PC is
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characteristics: • Fixed pictures
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HDTV (and Digital Television) If th
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Modem Banks This is the first of th
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25.7 Automotive, Industrial Althoug
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36. MITEL Semiconductor: www.semico
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26.2 Digital Filters The theory of
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|H | 1 FIGURE 26.1 Frequency select
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TABLE 26.1 Filter Design Comparison
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frequency response involves some al
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Impulse Response 0.2 0.15 0.1 0.05
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This constrained magnitude problem
Page 724 and 725:
FIGURE 26.8 Block diagram of the ge
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11. Ikehara, M., Tanaka, H., and Ku
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Adam Dabrowski Poznan University To
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−12 2 The reference in this case
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FIGURE 27.1 Two-band filter bank: (
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FIGURE 27.5 Critical bandwidth and
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FIGURE 27.7 Threshold of audibility
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FIGURE 27.10 Critical band index in
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FIGURE 27.13 Simplified model of th
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All described masking effects are e
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where From Eqs. (27.32) and (27.33)
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eal-time. Although floating-point p
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FIGURE 27.19 Overlapped, power comp
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FIGURE 27.21 Symmetrical FIR filter
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In the MPEG-1 encoder an efficient
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These first two approaches can be m
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FIGURE 27.27 ADPCM: (a) encoder, (b
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FIGURE 27.30 General scheme of the
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A new standard MPEG-7, named the mu
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FIGURE 27.32 AC-3 encoder. FIGURE 2
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29. Marven, C. and Ewers, G., A sim
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FIGURE 28.1 FIGURE 28.2 of the huma
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FIGURE 28.5 image of reasonable qua
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Consider the case of a simple 2-D
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FIGURE 28.8 A sampled spatiotempora
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oth high spatial frequency componen
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If it were separable (that is, H(ξ
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The first hypothesis (the less plau
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FIGURE 28.17 The real (top) and ima
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FIGURE 28.18 The resolution of a ti
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FIGURE 28.20 Motion estimation by b
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where the superscripts n and n + 1
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must be found via a finite set of o
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The methods in this subsection are
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FIGURE 28.28 The split phase. Using
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35. Y.-T. Wu, T. Kanade, J. Cohn, a
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29.2 Power Dissipation in Digital C
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additional power benefits. Efficien
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Power savings are higher than simpl
Page 802 and 803:
A priori knowledge of data stream d
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FIGURE 29.7 DCT Chip [my DCT] avera
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19. S. Uramoto et al. A 100 MHz 2-D
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Anna Hać University of Hawaii 30.1
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Using TCP/IP also makes the network
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this is for one mobile host which i
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TDMA Time-division multiple access
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path delay. The two measures of the
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are under the control of the system
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the bandwidth reserved in the targe
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Chik-Kong Ken Yang University of Ca
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FIGURE 31.3 attenuation (dB) -3.0 -
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FIGURE 31.5 to handle large voltage
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p_o V bias FIGURE 31.8 High-impedan
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out[n] a0 FIGURE 31.11 Transmitter
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FIGURE 31.15 Receiver design using
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digitally by first feeding the inpu
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FIGURE 31.19 90 o locking using XOR
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Power of these links is becoming an
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46. Takahashi, T. et al., “A CMOS
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Many computer programs exhibit some
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32.3 Related Memory Models, Hierarc
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32.6 External Sorting and Related P
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uns, each striped across the disks.
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Matrix transposition is the special
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of satellite images is over one ter
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TABLE 32.3 Best Known I/O Bounds fo
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e accessed directly in a single I/O
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implementations of priority queues
Page 860 and 861:
By the reduction in [52], a data st
Page 862 and 863:
set of experiments on various text
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3. A. Acharya, M. Uysal, and J. Sal
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44. J. L. Bentley and J. B. Saxe. D
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85. P. Ferragina and F. Luccio. Dyn
Page 870 and 871:
128. V. Kumar and E. Schwabe. Impro
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173. H. Samet. The Design and Analy
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Peter J. Varman Rice University 33.
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need for fast transfers, up to 1 Gb
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In contrast to prefetching that mas
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The ERF algorithm was analyzed in [
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increment lowestPriorityOnDisk(disk
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External or out-of-core algorithms
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33. M. Kallahalla and P. J. Varman.
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advanced, reaching the point where
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FIGURE 34.3 FIGURE 34.4 defines the
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FIGURE 34.5 Trellis representation
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FIGURE 34.7 Data and servo sectors.
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References 1. S. H. Charrap, P. L.
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High-frequency noise is then remove
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The various components of (34.3) ar
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sequences are more complex, and occ
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ange of 10 −12 -10 −15 . Anothe
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strategies are reviewed, which have
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FIGURE 34.13 Magnitude response for
Page 910 and 911:
taps as an approximation of the Typ
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FIGURE 34.18 CTF BER performance de
Page 914 and 915:
TABLE 34.1 Examples of Equalizers I
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(i) Symbol rate VCO based timing re
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Symbol Rate Timing Recovery Schemes
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where B = B 1 + B 2 + 1 is the size
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in � out � d(k) FIGURE 34.26 Ti
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�(k) z -L FIGURE 34.27 Linearized
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10 −4 and 10 −2 . The steady-st
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16. J. Sonntag, et al., “A high s
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y a special sequence known as the a
Page 932 and 933:
FIGURE 34.36 An example of two Gray
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track n track n +1 FIGURE 34.38 The
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FIGURE 34.40 The phase format. Posi
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increase linear density while mitig
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FIGURE 34.43 Two equivalent constra
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FIGURE 34.44 Possible pairs of sequ
Page 944 and 945:
Distance δ min,C can be bounded as
Page 946 and 947:
FIGURE 34.45 Standard concatenation
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30. E. Soljanin, “On-track and of
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The next block is PRE. What is PR?
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In the above example, we see that s
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FIGURE 34.52 Feedback detector. Cat
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FIGURE 34.54 Decision feedback equa
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esponse (this is also valid for dif
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its use, while the computational, o
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FIGURE 34.58 Viterbi algorithm dete
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Noise-Predictive Maximum Likelihood
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The error event likelihoods are cal
Page 968 and 969:
Metric-First Algorithms Metric-firs
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termination at the same time. Howev
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13. J. Hagenauer, “Applications o
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Given a code C of length n and dime
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Notice that, although a code may ha
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Not many perfect codes exist. In th
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Theorem 1 (Shannon) For any � > 0
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If we write the codewords as polyno
Page 984 and 985:
Let © 2002 by CRC Press LLC 1 1 K
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which, in polynomial form, is Let E
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m Σl=0 because a l = (a m+1 − 1)
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Evaluating the syndromes, we obtain
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FIGURE 34.63 Interleaving m times o
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Operating System © 2002 by CRC Pre
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systems, the most notable example b
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35.3 Components of Distributed Oper
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Message-passing IPC shares many cha
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process at any arbitrary stage in i
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Few attempts were made in the past
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alternate years with SOSP), and the
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© 2002 by CRC Press LLC 42 Mobile
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FIGURE 36.1 were introduced; howeve
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FPGAs by providing on-chip memory f
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FIGURE 36.3 There is a considerable
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FIGURE 36.4 The general form of the
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FIGURE 36.6 If a VPB can cover all
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John Morris University of Western A
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FIGURE 37.1 Simplified block diagra
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inverters, and the programmable mul
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Programmable Active Memories (PAM)
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measured in megabits, not megabytes
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from modern FPGAs, e.g., Altera’s
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Regularity A processing pipeline wi
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Other Languages Other routes from h
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29. Bergmann, N.W., and Dawood, A.,
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FIGURE 37.8 Basic architectures for
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Selected Applications Several class
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Development Systems Developing appl
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implementation. Reconfigurable or r
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The designer starts the generation
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lock but allows multiple instructio
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data-types that are mapped to TIE r
Page 1052 and 1053:
Conclusions Configurable and extens
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FIGURE 38.1 Average vehicle speed.
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AHS means advanced cruise-assist hi
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TABLE 38.3 navigation systems VICS
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FIGURE 38.9 FIGURE 38.10 a map data
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FIGURE 38.13 The four basic functio
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Support of Safe Driving System The
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System evaluation, the fourth issue
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FIGURE 38.18 Summarizing the three
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uilder tools serving to build MMI o
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FIGURE 38.23 FIGURE 38.24 automaker
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FIGURE 38.26 FIGURE 38.27 The first
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FIGURE 38.30 FIGURE 38.31 a kind of
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To Probe Further In this field, the
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FIGURE 39.1 of more versatile media
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1 • 3DNow! 1 [11,12] from AMD,
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FIGURE 39.6 In the packed add instr
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If saturation arithmetic is used in
Page 1088 and 1089:
TABLE 39.1 Examples of Operations T
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FIGURE 39.10 PAVG R c, R a, R b: Pa
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FIGURE 39.13 Packed compare instruc
Page 1094 and 1095:
FIGURE 39.17 Packed multiply high i
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FIGURE 39.20 Packed multiply left i
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FIGURE 39.23 In the packed multiply
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TABLE 39.4 Packed Integer Multiplic
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Subword Permutation Instructions In
Page 1104 and 1105:
is n log 2(n). Table 39.6 shows how
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FIGURE 39.33 Mix left instruction.
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TABLE 39.7 Subword Permutation Inst
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TABLE 39.9 IA-64 uses FPMA and FPMS
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The two-bit result field is written
Page 1114 and 1115:
source register. These three FP mix
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13. Motorola, “AltiVec technology
Page 1118 and 1119:
FIGURE 39.48 ManArray 1 × 2 core e
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FIGURE 39.50 Hypercube interconnect
Page 1122 and 1123:
FIGURE 39.53 Host DSP software laye
Page 1124 and 1125:
Benchmark Data Type Performance 256
Page 1126 and 1127:
FIGURE 39.56 Simplified schematic o
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Gaming applications often require a
Page 1130 and 1131:
system, and the application program
Page 1132 and 1133:
FIGURE 39.60 FIGURE 39.61 FIGURE 39
Page 1134 and 1135:
FIGURE 39.64 shifting place limits
Page 1136 and 1137:
FIGURE 39.66 pitch Address Looping
Page 1138 and 1139:
FIGURE 39.69 gain of the filter. It
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as a core to integrate onto the sam
Page 1142 and 1143:
7. Rossum, D., Constraint based aud
Page 1144 and 1145:
FIGURE 39.74 Procedure for simulate
Page 1146 and 1147:
The fitness value of an individual
Page 1148 and 1149:
FIGURE 39.77 The tabu list can be v
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Intermediate-term memory component
Page 1152 and 1153:
FIGURE 39.81 Selection. FIGURE 39.8
Page 1154 and 1155:
Work on parallelization of the tabu
Page 1156 and 1157:
Acknowledgment The authors acknowle
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47. L. K. Grover. A new Simulated A
Page 1160 and 1161:
93. E. M. Rudnick, J. H. Patel, G.
Page 1162 and 1163:
138. Youn-Long Lin, Yu-Chin Hsu, an
Page 1164 and 1165:
This architecture allowed for large
Page 1166 and 1167:
FIGURE 40.3 40.3 Application Server
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FIGURE 40.5 applications. CORBA cur
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FIGURE 40.8 The application server
Page 1172 and 1173:
FIGURE 40.10 The proposed architect
Page 1174 and 1175:
cost at the front end. The ideal ap
Page 1176 and 1177:
FIGURE 40.12 Client-server and netw
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Yoshiaki Hagiwara Sony Corporation
Page 1180 and 1181:
FIGURE 41.2 This corresponds to the
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FIGURE 41.5 Buried channel CCD stru
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FIGURE 41.8 Applications of CCD and
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sensor (1100 K pixel) Microphone ×
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�� FIGURE 41.14 Form com
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FIGURE 41.16 Stack technology. Link
Page 1192 and 1193:
1st EmDRAM Product FIGURE 41.19 Emb
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FIGURE 41.23 Em-DRAM process techno
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John F. Alexander University of Nor
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Several reasons exist for mentionin
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sort of local area network. Support
Page 1202 and 1203:
Technological hurdles must be overc
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FIGURE 42.1 Block diagram of (a) ge
Page 1206 and 1207:
FIGURE 42.3 Alternative FIR filter
Page 1208 and 1209:
FIGURE 42.5 Polyphase filter struct
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3. E. Dahlman, Bjorn Gudmundson, M.
Page 1212 and 1213:
TABLE 42.1 Categorizing Reusable Co
Page 1214 and 1215:
FIGURE 42.11 Internet growth. FIGUR
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FIGURE 42.13 Software for VoIP SoC.
Page 1218 and 1219:
FIGURE 42.17 Bandwidth trends. FIGU
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The interconnections between the va
Page 1222 and 1223:
FIGURE 42.21 A typical communicatio
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carry information over longer dista
Page 1226 and 1227:
however, it is not uncommon that so
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node, to which the user is connecte
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its information. Intuitively, this
Page 1232 and 1233:
This issue is referred to as latenc
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Evolution of Standard Image/Video C
Page 1236 and 1237:
FIGURE 42.26 Sequence of zigzag-cod
Page 1238 and 1239:
FIGURE 42.29 150th Frame of origina
Page 1240 and 1241:
FIGURE 42.31 Data partitioning for
Page 1242 and 1243:
for transmitting a predictively cod
Page 1244 and 1245:
42.6 Pen-Based User Interfaces—An
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FIGURE 42.35 The handwriting recogn
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• No toggling between edit/contro
Page 1250 and 1251:
FIGURE 42.39 Boxplots of time to en
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0 … 9 ( ) -
Page 1254 and 1255:
is using the SMIL generic media ref
Page 1256 and 1257:
FIGURE 42.47 Example of pen-and-pap
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slots specifying pieces of informat
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most stringent demands for low-powe
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FIGURE 42.51 MIPS requirement of se
Page 1264 and 1265:
FIGURE 42.54 von Neumann architectu
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FIGURE 42.57 Dual Mac architecture
Page 1268 and 1269:
FIGURE 42.59 Two data path variatio
Page 1270 and 1271:
FIGURE 42.60 Basic pipeline archite
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References 1. Bahl L., Cocke J., Je
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Random Oracle Model One direction o
Page 1276 and 1277:
at the end of its usefulness. A new
Page 1278 and 1279:
function and verification function
Page 1280 and 1281:
underlies the Diffie-Hellman key ag
Page 1282 and 1283:
31. Dolev, D., Dwork, C., and Naor,
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R. Chandramouli Synopsys Inc. 44.1
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many deficiencies in the design may
Page 1288 and 1289:
impact the performance and test ove
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FIGURE 44.4 FIGURE 44.5 It becomes
Page 1292 and 1293:
SoC methodologies require synchroni
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This method, however, lacks the app
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FIGURE 45.2 Input formats of MILEF
Page 1298 and 1299:
FIGURE 45.3 FIGURE 45.4 Robustness
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FIGURE 45.5 In Fig. 45.5 a simple e
Page 1302 and 1303:
difficult to identify for overcurre
Page 1304 and 1305:
General Approach in Comparison with
Page 1306 and 1307:
FIGURE 45.10 phase—the propagatio
Page 1308 and 1309:
shorter test sequence could possibl
Page 1310 and 1311:
Looking at results of Table 45.6, i
Page 1312 and 1313:
45.4 Summary Automatic test pattern
Page 1314 and 1315:
41. F. Brglez, H. Fujiwara: A neutr
Page 1316 and 1317:
FIGURE 46.1 Rule of ten in testing
Page 1318 and 1319:
FIGURE 46.5 FIGURE 46.6 of the DUT.
Page 1320 and 1321:
FIGURE 46.7 generate tests for ever
Page 1322 and 1323:
FIGURE 46.9 FIGURE 46.10 behavioral
Page 1324 and 1325:
Z. Stamenković University of N. St
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FIGURE 47.2 Murphy’s Model The mo
Page 1328 and 1329:
where k is the total number of crit
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FIGURE 47.5 Definition of IC critic
Page 1332 and 1333:
distribution [34,35]: © 2002 by CR
Page 1334 and 1335:
and, in the case of w = X 2 − X 1
Page 1336 and 1337:
Algorithm • Input: a singly linke
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TRACIF takes a CIF file as input an
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TABLE 47.2 Critical Area Extraction
Page 1342 and 1343:
Also, the critical areas for lithog
Page 1344 and 1345:
(enhancement of the process cleanli
Page 1346 and 1347:
28. Corsi, F. and Martino, S., Defe
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U. Glaeser

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