Dynamic Tracing and Profiling - Red Hat People

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Cache ● Instruction <strong>and</strong> data caches ● Cache smaller but faster than main memory ● <strong>Red</strong>uce average memory access time ● Make assumptions about locality: ● Spatial ● Temporal 26
● Poor spatial locality: Cache Problems ● Cache line has multiple memory locations ● Only using small part of cache line ● Nonunit stride through memory ● Poor temporal locality ● No reuse of data in cache ● False sharing ● Cache line bounces between processor 27
Page 1 and 2: Performance Monitoring and Tuning w
Page 3 and 4: Performance Tuning Issues: Software
Page 5 and 6: OProfile Introduction ● Started a
Page 7 and 8: OProfile Database ● All the data
Page 9 and 10: Events to Measure (cont.) ● Perfo
Page 11 and 12: Shared Library and Kernel Samples
Page 13 and 14: Data Collection from OProfile RPM B
Page 15 and 16: Procedure (cont) ● When OProfile
Page 17 and 18: More Detailed Look at Executables
Page 19 and 20: Look at Compiler executable $ oprep
Page 21 and 22: Events Available to Monitor ● OPr
Page 23 and 24: Analyzing Kernel Modules ● OProfi
Page 25: Processor Hardware Optimizations
Page 29 and 30: ICache Output $ opreport l sess
Page 31 and 32: Dcache Output $ opreport l sessio
Page 33 and 34: Pipelined, Superscalar, and OOO Exe
Page 35 and 36: Branch Prediction Problems ● Bran
Page 37: Branch Results $ opreport l sessi

Dynamic Tracing and Profiling - Red Hat People

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