here - Stefan-Marr.de

More documents

Recommendations

Info

L I S T O F TA B L E S 2.1. Flynn’s taxonomy . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 2.2. Almasi and Gottlieb’s taxonomy . . . . . . . . . . . . . . . . . . 25 3.1. VM survey subjects . . . . . . . . . . . . . . . . . . . . . . . . . . 43 3.2. VM survey results . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 3.3. Surveyed languages and papers . . . . . . . . . . . . . . . . . . . 59 3.4. Survey results: concepts classified . . . . . . . . . . . . . . . . . 60 3.5. Subsumed concepts . . . . . . . . . . . . . . . . . . . . . . . . . . 61 3.6. Implementation challenges on top of multi-language VMs . . . 83 3.7. Requirements for a unifying substrate . . . . . . . . . . . . . . . 85 4.1. RoarVM method header . . . . . . . . . . . . . . . . . . . . . . . 103 4.2. The Smalltalk-80 bytecodes . . . . . . . . . . . . . . . . . . . . . 105 6.1. Implementation challenges, recapitulated . . . . . . . . . . . . . 142 6.2. Requirements for a unifying substrate, recapitulated . . . . . . 143 6.3. Concepts supported by the OMOP . . . . . . . . . . . . . . . . . 159 6.4. Agent implementation metrics . . . . . . . . . . . . . . . . . . . 163 6.5. Detailed comparison of the LRSTM implementations . . . . . . 166 6.6. Metrics for ad hoc and OMOP-based implementations . . . . . 169 6.7. Concepts supported by the OMOP and today’s VMs . . . . . . 172 7.1. RoarVM+OMOP method header . . . . . . . . . . . . . . . . . . 196 7.2. VM primitives for the OMOP . . . . . . . . . . . . . . . . . . . . 197 8.1. Experiments to assess ad hoc vs. OMOP-based performance . . 215 A.1. VM survey: VM details and concept exposure . . . . . . . . . . 251 A.2. Concepts provided by languages and proposed in papers . . . 256 xvii
Page 1 and 2: Faculty of Science and Bio-Engineer
Page 3: DON’T PANIC
Page 7: S A M E N VAT T I N G Over de laats
Page 11 and 12: C O N T E N T S 1. Introduction 1 1
Page 13 and 14: Contents 4.4. RoarVM . . . . . . .
Page 15: Contents 9.5. Future Work . . . . .
Page 21 and 22: L I S T O F L I S T I N G S 2.1. Cl
Page 23 and 24: 1 I N T R O D U C T I O N During re
Page 25 and 26: 1.2. Problem Statement and garbage
Page 27 and 28: 1.3. Research Goals 1.3. Research G
Page 29 and 30: 1.4. Dissertation Outline programmi
Page 31 and 32: 1.5. Supporting Publications and Te
Page 33 and 34: 1.5. Supporting Publications and Te
Page 35 and 36: 2 C O N T E X T A N D M O T I VAT I
Page 37 and 38: 2.1. Multi-Language Virtual Machine
Page 39 and 40: 2.2. The Multicore Revolution 2.2.
Page 41 and 42: 2.3. Concurrent vs. Parallel Progra
Page 43 and 44: 2.3. Concurrent vs. Parallel Progra
Page 45 and 46: 2.4. Common Approaches to Concurren
Page 59 and 60: 2.6. Summary reasoning when for ins
Page 61 and 62: 3 W H I C H C O N C E P T S F O R C
Page 63 and 64: 3.1. VM Support for Concurrent and
Page 69 and 70:
3.1. VM Support for Concurrent and
Page 71 and 72:
Page 73 and 74:
Page 75 and 76:
Page 77 and 78:
Page 79 and 80:
3.2. A Survey of Parallel and Concu
Page 81 and 82:
Page 83 and 84:
Page 85 and 86:
Page 87 and 88:
Page 89 and 90:
Page 91 and 92:
Page 93 and 94:
3.3. Common Problems for the Implem
Page 95 and 96:
Page 97 and 98:
Page 99 and 100:
Page 101 and 102:
Page 103 and 104:
Page 105 and 106:
3.4. Requirements for a Unifying Su
Page 107 and 108:
3.4. Requirements for a Unifying Su
Page 109:
3.5. Conclusions Proper support for
Page 112 and 113:
4. Experimentation Platform 4.1. Re
Page 114 and 115:
4. Experimentation Platform Classes
Page 116 and 117:
4. Experimentation Platform these s
Page 118 and 119:
4. Experimentation Platform for the
Page 120 and 121:
4. Experimentation Platform 1 SOMIn
Page 122 and 123:
4. Experimentation Platform 4.3. Sq
Page 124 and 125:
4. Experimentation Platform Another
Page 126 and 127:
4. Experimentation Platform Bytecod
Page 128 and 129:
4. Experimentation Platform ensembl
Page 130 and 131:
4. Experimentation Platform custom
Page 132 and 133:
5. An Ownership-based MOP for Expre
Page 134 and 135:
Page 136 and 137:
Page 138 and 139:
Page 140 and 141:
Page 142 and 143:
Page 144 and 145:
Page 146 and 147:
Page 148 and 149:
Page 150 and 151:
Page 152 and 153:
Page 154 and 155:
Page 156 and 157:
Page 159 and 160:
6 E VA L U AT I O N : T H E O M O P
Page 161 and 162:
6.1. Evaluation Criteria Concurrent
Page 163 and 164:
6.2. Case Studies concepts has prac
Page 165 and 166:
6.2. Case Studies Table 6.2.: Requi
Page 167 and 168:
6.2. Case Studies Ad Hoc Solutions
Page 169 and 170:
6.2. Case Studies Immutability In a
Page 171 and 172:
6.2. Case Studies Important for thi
Page 173 and 174:
6.2. Case Studies The primitives re
Page 175 and 176:
6.2. Case Studies 1 WriteStream = S
Page 177 and 178:
6.2. Case Studies ing actor. Upon c
Page 179 and 180:
6.2. Case Studies vide additional p
Page 181 and 182:
6.3. Supported Concepts Table 6.3.:
Page 183 and 184:
6.4. Comparing Implementation Size
Page 185 and 186:
Page 187 and 188:
Page 189 and 190:
Page 191 and 192:
6.5. Discussion Table 6.6.: Metrics
Page 193 and 194:
6.5. Discussion Vats, as prosed by
Page 195 and 196:
6.5. Discussion Based on these obse
Page 197 and 198:
6.5. Discussion Method Invocation R
Page 199 and 200:
6.5. Discussion Limited support for
Page 201:
6.6. Conclusion can be varied as de
Page 204 and 205:
7. Implementation Approaches 7.1. A
Page 206 and 207:
7. Implementation Approaches The me
Page 208 and 209:
7. Implementation Approaches code c
Page 210 and 211:
7. Implementation Approaches port f
Page 212 and 213:
7. Implementation Approaches bility
Page 214 and 215:
7. Implementation Approaches The mo
Page 216 and 217:
7. Implementation Approaches Custom
Page 218 and 219:
7. Implementation Approaches method
Page 220 and 221:
7. Implementation Approaches introd
Page 223 and 224:
8 E VA L U AT I O N : P E R F O R M
Page 225 and 226:
8.1. Evaluation Strategy The RoarVM
Page 227 and 228:
8.1. Evaluation Strategy posed eval
Page 229 and 230:
8.2. Methodology Generalizability b
Page 231 and 232:
8.3. Baseline Assessment marking fr
Page 233 and 234:
8.3. Baseline Assessment 3500 3000
Page 235 and 236:
8.3. Baseline Assessment the OMOP i
Page 237 and 238:
8.4. Ad hoc vs. OMOP Performance Ta
Page 239 and 240:
8.4. Ad hoc vs. OMOP Performance 10
Page 241 and 242:
8.5. Assessment of Performance Char
Page 243 and 244:
Page 245 and 246:
Page 247 and 248:
Page 249 and 250:
8.6. Absolute Performance To conclu
Page 251 and 252:
8.7. Discussion and Threats to Vali
Page 253 and 254:
8.7. Discussion and Threats to Vali
Page 255 and 256:
8.8. Conclusions Important to note
Page 257 and 258:
9 C O N C L U S I O N A N D F U T U
Page 259 and 260:
9.2. Contributions the identified r
Page 261 and 262:
9.3. Limitations OMOP addresses com
Page 263 and 264:
9.4. Overall Conclusions The limita
Page 265 and 266:
9.5. Future Work 9.5.1. Support for
Page 267 and 268:
9.5. Future Work 9.5.4. Representat
Page 269:
9.6. Closing Statement bytecode dis
Page 272 and 273:
Appendix A. Appendix: Survey Materi
Page 274 and 275:
Page 276 and 277:
Page 278 and 279:
Page 280 and 281:
Page 282 and 283:
Page 284 and 285:
Appendix B. Appendix: Performance E
Page 286 and 287:
Page 288 and 289:
Page 290 and 291:
Page 293 and 294:
R E F E R E N C E S Martín Abadi a
Page 295 and 296:
References Stephen M. Blackburn, Ro
Page 297 and 298:
References OOPSLA ’05: Proceeding
Page 299 and 300:
References Transactions on Software
Page 301 and 302:
References Gopal Gupta, Enrico Pont
Page 303 and 304:
References ’04, pages 26-35, New
Page 305 and 306:
References Gregor Kiczales, John La
Page 307 and 308:
References Stefan Marr and Theo D
Page 309 and 310:
References S. E. Mitchell, A. Burns
Page 311 and 312:
References Lukas Renggli and Oscar
Page 313 and 314:
References and Phd Forum (IPDPSW),
Page 315 and 316:
References David Ungar. Everything
Page 317 and 318:
References Peter H. Welch, Neil Bro
show all

here - Stefan-Marr.de

Create successful ePaper yourself

Delete template?

Save as template?