Structured parallel programming: patterns for efficient computation
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam [u.a.]
Elsevier, Morgan Kaufman
2012
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturverzeichnis Seite 391-396 |
| Beschreibung: | XXVI, 406 S. Ill., graph. Darst. |
| ISBN: | 9780124159938 |
Internformat
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| 245 | 1 | 0 | |a Structured parallel programming |b patterns for efficient computation |c Michael McCool ; Arch Robison ; James Reinders |
| 264 | 1 | |a Amsterdam [u.a.] |b Elsevier, Morgan Kaufman |c 2012 | |
| 300 | |a XXVI, 406 S. |b Ill., graph. Darst. | ||
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| 700 | 1 | |a Reinders, James |e Verfasser |0 (DE-588)1195196970 |4 aut | |
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Datensatz im Suchindex
| _version_ | 1804149430578839552 |
|---|---|
| adam_text | Titel: Structured parallel programming
Autor: Mccool, Michael
Jahr: 2012
Contents
Listings................................................................................................. xv
Preface.................................................................................................. xix
Preliminaries............................................................................................ xxiii
CHAPTER 1 Introduction.......................................................................... 1
1.1. Think Parallel........................................................................ 2
1.2 Performance.......................................................................... 4
1.3 Motivation: Pervasive Parallelism.................................................. 7
1.3.1 Hardware Trends Encouraging Parallelism................................. 7
1.3.2 Observed Historical Trends in Parallelism.................................. 11
1.3.3 Need for Explicit Parallel Programming.................................... 14
1.4 Structured Pattern-Based Programming............................................ 19
1.5 Parallel Programming Models...................................................... 21
1.5.1 Desired Properties............................................................ 21
1.5.2 Abstractions Instead of Mechanisms........................................ 23
1.5.3 Expression of Regular Data Parallelism..................................... 24
1.5.4 Composability................................................................ 27
1.5.5 Portability of Functionality.................................................. 28
1.5.6 Performance Portability...................................................... 28
1.5.7 Safety, Determinism, and Maintainability................................... 29
1.5.8 Overview of Programming Models Used................................... 29
1.5.9 When to Use Which Model?................................................. 36
1.6 Organization of this Book........................................................... 37
1.7 Summary............................................................................. 38
CHAPTER 2 Background.......................................................................... 39
2.1 Vocabulary and Notation............................................................ 39
2.2 Strategies............................................................................. 40
2.3 Mechanisms.......................................................................... 41
2.4 Machine Models..................................................................... 44
2.4.1 Machine Model............................................................... 44
2.4.2 Key Features for Performance............................................... 50
2.4.3 Flynn s Characterization..................................................... 51
2.4.4 Evolution...................................................................... 53
2.5 Performance Theory................................................................. 54
2.5.1 Latency and Throughput..................................................... 55
2.5.2 Speedup, Efficiency, and Scalability......................................... 56
vi Contents
2.5.3 Power.......................................................................... 57
2.5.4 Amdahl s Law................................................................ 58
2.5.5 Gustafson-Barsis Law....................................................... 60
2.5.6 Work-Span Model............................................................ 62
2.5.7 Asymptotic Complexity...................................................... 65
2.5.8 Asymptotic Speedup and Efficiency......................................... 67
2.5.9 Little s Formula............................................................... 67
2.6 Pitfalls................................................................................ 68
2.6.1 Race Conditions.............................................................. 68
2.6.2 Mutual Exclusion and Locks................................................. 70
2.6.3 Deadlock...................................................................... 72
2.6.4 Strangled Scaling............................................................. 73
2.6.5 Lack of Locality.............................................................. 73
2.6.6 Load Imbalance............................................................... 74
2.6.7 Overhead...................................................................... 74
2.7 Summary............................................................................. 75
PART I PATTERNS
CHAPTER 3 Patterns............................................................................... 79
3.1 Nesting Pattern....................................................................... 80
3.2 Structured Serial Control Flow Patterns............................................ 82
3.2.1 Sequence...................................................................... 82
3.2.2 Selection...................................................................... 84
3.2.3 Iteration....................................................................... 84
3.2.4 Recursion..................................................................... 87
3.3 Parallel Control Patterns............................................................. 88
3.3.1 Fork-Join..................................................................... 88
3.3.2 Map............................................................................ 88
3.3.3 Stencil......................................................................... 89
3.3.4 Reduction..................................................................... 90
3.3.5 Scan........................................................................... 92
3.3.6 Recurrence.................................................................... 95
3.4 Serial Data Management Patterns................................................... 95
3.4.1 Random Read and Write..................................................... 96
3.4.2 Stack Allocation.............................................................. 96
3.4.3 Heap Allocation.............................................................. 96
3.4.4 Closures....................................................................... 97
3.4.5 Objects........................................................................ 97
Contents vii
3.5 Parallel Data Management Patterns................................................. 98
3.5.1 Pack........................................................................... 98
3.5.2 Pipeline........................................................................ 99
3.5.3 Geometric Decomposition................................................... 100
3.5.4 Gather......................................................................... 101
3.5.5 Scatter......................................................................... 101
3.6 Other Parallel Patterns............................................................... 102
3.6.1 Superscalar Sequences....................................................... 102
3.6.2 Futures........................................................................ 102
3.6.3 Speculative Selection......................................................... 104
3.6.4 Workpile...................................................................... 105
3.6.5 Search......................................................................... 105
3.6.6 Segmentation................................................................. 105
3.6.7 Expand........................................................................ 106
3.6.8 Category Reduction.......................................................... 106
3.6.9 Term Graph Rewriting....................................................... 107
3.7 Non-Deterministic Patterns ......................................................... 108
3.7.1 Branch and Bound............................................................ 108
3.7.2 Transactions................................................................... 109
3.8 Programming Model Support for Patterns.......................................... 110
3.8.1 CilkPlus...................................................................... 112
3.8.2 Threading Building Blocks .................................................. 113
3.8.3 OpenMP....................................................................... 114
3.8.4 Array Building Blocks....................................................... 115
3.8.5 OpenCL....................................................................... 116
3.9 Summary............................................................................. 118
CHAPTER 4 Map................................................................................... 121
4.1 Map................................................................................... 123
4.2 Scaled Vector Addition (SAXPY).................................................. 124
4.2.1 Description of the Problem................................................... 124
4.2.2 Serial Implementation........................................................ 125
4.2.3 TBB........................................................................... 125
4.2.4 CilkPlus...................................................................... 127
4.2.5 Cilk Plus with Array Notation............................................... 127
4.2.6 OpenMP....................................................................... 128
4.2.7 ArBB Using Vector Operations.............................................. 128
4.2.8 ArBB Using Elemental Functions........................................... 129
4.2.9 OpenCL....................................................................... 130
viii Contents
4.3 Mandelbrot........................................................................... 131
4.3.1 Description of the Problem................................................... 131
4.3.2 Serial Implementation........................................................ 132
4.3.3 TBB........................................................................... 132
4.3.4 CilkPlus...................................................................... 132
4.3.5 Cilk Plus with Array Notations.............................................. 134
4.3.6 OpenMP....................................................................... 134
4.3.7 ArBB.......................................................................... 134
4.3.8 OpenCL....................................................................... 138
4.4 Sequence of Maps versus Map of Sequence ....................................... 139
4.5 Comparison of Parallel Models..................................................... 141
4.6 Related Patterns...................................................................... 141
4.6.1 Stencil......................................................................... 141
4.6.2 Workpile...................................................................... 142
4.6.3 Divide-and-conquer.......................................................... 142
4.7 Summary............................................................................. 143
CHAPTER 5 Collectives........................................................................... 145
5.1 Reduce ............................................................................... 145
5.1.1 Reordering Computations.................................................... 146
5.1.2 Vectorization.................................................................. 148
5.1.3 Tiling.......................................................................... 149
5.1.4 Precision...................................................................... 150
5.1.5 Implementation............................................................... 151
5.2 Fusing Map and Reduce............................................................. 152
5.2.1 Explicit Fusion in TBB....................................................... 152
5.2.2 Explicit Fusion in Cilk Plus.................................................. 153
5.2.3 Automatic Fusion in ArBB................................................... 153
5.3 DotProduct.......................................................................... 154
5.3.1 Description of the Problem................................................... 154
5.3.2 Serial Implementation........................................................ 154
5.3.3 SSE Intrinsics................................................................. 155
5.3.4 TBB........................................................................... 156
5.3.5 CilkPlus...................................................................... 158
5.3.6 OpenMP....................................................................... 160
5.3.7 ArBB.......................................................................... 161
5.4 Scan.................................................................................. 162
5.4.1 CilkPlus...................................................................... 164
5.4.2 TBB........................................................................... 165
5.4.3 ArBB.......................................................................... 165
5.4.4 OpenMP....................................................................... 165
5.5 Fusing Map and Scan................................................................ 166
Contents ix
5.6 Integration............................................................................ 169
5.6.1 Description of the Problem................................................... 170
5.6.2 Serial Implementation........................................................ 170
5.6.3 CilkPlus...................................................................... 170
5.6.4 OpenMP....................................................................... 170
5.6.5 TBB........................................................................... 172
5.6.6 ArBB.......................................................................... 175
5.7 Summary............................................................................. 177
CHAPTER 6 Data Reorganization................................................................. 179
6.1 Gather................................................................................ 180
6.1.1 General Gather................................................................ 180
6.1.2 Shift........................................................................... 182
6.1.3 Zip............................................................................. 182
6.2 Scatter................................................................................ 182
6.2.1 Atomic Scatter................................................................ 184
6.2.2 Permutation Scatter........................................................... 184
6.2.3 Merge Scatter................................................................. 185
6.2.4 Priority Scatter................................................................ 185
6.3 Converting Scatter to Gather........................................................ 186
6.4 Pack.................................................................................. 187
6.5 Fusing Map and Pack................................................................ 189
6.6 Geometric Decomposition and Partition............................................ 191
6.7 Array of Structures vs. Structures of Arrays........................................ 194
6.8 Summary............................................................................. 197
CHAPTER 7 Stencil and Recurrence............................................................. 199
7.1 Stencil................................................................................ 199
7.2 Implementing Stencil with Shift.................................................... 201
7.3 Tiling Stencils for Cache............................................................ 202
7.4 Optimizing Stencils for Communication........................................... 203
7.5 Recurrence........................................................................... 204
7.6 Summary............................................................................. 207
CHAPTER 8 Fork-Join............................................................................. 209
8.1 Definition............................................................................. 210
8.2 Programming Model Support for Fork-Join....................................... 211
8.2.1 Cilk Plus Support for Fork-Join............................................. 212
8.2.2 TBB Support for Fork-Join.................................................. 213
8.2.3 OpenMP Support for Fork-Join............................................. 214
8.3 Recursive Implementation of Map.................................................. 215
8.4 Choosing Base Cases................................................................ 217
Contents
8.5 Load Balancing...................................................................... 218
8.6 Complexity of Parallel Divide-and-Conquer....................................... 221
8.7 Karatsuba Multiplication of Polynomials .......................................... 224
8.7.1 Note on Allocating Scratch Space........................................... 227
8.8 Cache Locality and Cache-Oblivious Algorithms................................. 227
8.9 Quicksort............................................................................. 230
8.9.1 Cilk Quicksort................................................................ 231
8.9.2 TBB Quicksort................................................................ 233
8.9.3 Work and Span for Quicksort................................................ 237
8.10 Reductions and Hyperobjects....................................................... 238
8.11 Implementing Scan with Fork-Join................................................. 241
8.12 Applying Fork-Join to Recurrences................................................ 246
8.12.1 Analysis...................................................................... 250
8.12.2 FlatFork-Join............................................................... 251
8.13 Summary............................................................................. 251
CHAPTER 9 Pipeline............................................................................... 253
9.1 Basic Pipeline........................................................................ 253
9.2 Pipeline with Parallel Stages........................................................ 254
9.3 Implementation of a Pipeline........................................................ 255
9.4 Programming Model Support for Pipelines........................................ 257
9.4.1 Pipeline in TBB............................................................... 257
9.4.2 Pipeline in Cilk Plus.....................................................••••• 258
9.5 More General Topologies........................................................... 261
9.6 Mandatory versus Optional Parallelism............................................ 261
9.7 Summary............................................................................. 262
PARTII EXAMPLES___________________________________________
CHAPTER 10 Forward Seismic Simulation...................................................... 265
10:1 Background.......................................................................... 265
10.2 Stencil Computation................................................................. 266
10.3 Impact of Caches on Arithmetic Intensity.......................................... 267
10.4 Raising Arithmetic Intensity with Space-Time Tiling............................. 270
10.5 CilkPlus Code....................................................................... 272
10.6 ArBB Implementation............................................................... 275
10.7 Summary............................................................................. 277
Contents xi
CHAPTER 11 K-Means Clustering................................................................ 279
11.1 Algorithm............................................................................ 279
11.2 K-Means with Cilk Plus............................................................. 281
11.2.1 Hyperobjects................................................................. 281
11.3 K-Means with TBB.................................................................. 285
11.4 Summary............................................................................. 289
CHAPTER 12 Bzip2 Data Compression.......................................................... 291
12.1 The Bzip2 Algorithm................................................................ 291
12.2 Three-Stage Pipeline Using TBB................................................... 292
12.3 Four-Stage Pipeline Using TBB .................................................... 296
12.4 Three-Stage Pipeline Using Cilk Plus.............................................. 296
12.5 Summary............................................................................. 297
CHAPTER 13 Merge Sort......................................................................... 299
13.1 Parallel Merge ....................................................................... 299
13.1.1 TBB Parallel Merge......................................................... 301
13.1.2 Work and Span of Parallel Merge........................................... 301
13.2 Parallel Merge Sort.................................................................. 303
13.2.1 Work and Span of Merge Sort.............................................. 304
13.3 Summary............................................................................. 305
CHAPTER 14 Sample Sort........................................................................ 307
14.1 Overall Structure..................................................................... 307
14.2 Choosing the Number of Bins....................................................... 309
14.3 Binning............................................................................... 309
14.3.1 TBB Implementation........................................................ 310
14.4 Repacking and Subsorting........................................................... 310
14.5 Performance Analysis of Sample Sort.............................................. 312
14.6 For C++Experts..................................................................... 313
14.7 Summary............................................................................. 313
CHAPTER 15 Cholesky Factorization............................................................ 315
15.1 Fortran Rules!........................................................................ 315
15.2 Recursive Cholesky Decomposition................................................ 317
15.3 Triangular Solve..................................................................... 318
15.4 Symmetric Rank Update............................................................ 319
15.5 Where Is the Time Spent?........................................................... 321
15.6 Summary............................................................................. 322
xii Contents
APPENDICES
APPENDIX A Further Reading..................................................................... 325
A.1 Parallel Algorithms and Patterns................................................... 325
A.2 Computer Architecture Including Parallel Systems............................... 325
A.3 Parallel Programming Models..................................................... 326
APPENDIX B CilkPlus............................................................................ 329
B.I Shared Design Principles with TBB............................................... 329
B.2 Unique Characteristics............................................................. 329
B.3 Borrowing Components from TBB................................................ 331
B.4 Key word Spelling.................................................................. 332
B.5 cilk.for........................................................................... 332
B.6 cil k.spawn and cilk.sync...................................................... 333
B.7 Reducers (Hyperobjects)........................................................... 334
B.7.1 C++Syntax.................................................................. 335
B.7.2 C Syntax..................................................................... 337
B.8 Array Notation...................................................................... 338
B.8.1 Specifying Array Sections.................................................. 339
B.8.2 Operations on Array Sections.............................................. 340
B.8.3 Reductions on Array Sections.............................................. 341
B.8.4 Implicit Index............................................................... 342
B.8.5 Avoid Partial Overlap of Array Sections .................................. 342
B.9 #pragma simd..................................................................... 343
B.10 Elemental Functions................................................................ 344
B.10.1 Attribute Syntax........................................................... 345
B.11 NoteonC++ll ..................................................................... 345
B.I2 Notes on Setup...................................................................... 346
B.13 History.............................................................................. 346
B.14 Summary............................................................................ 347
APPENDIX C TBB.................................................................................. 349
C.I Unique Characteristics............................................................. 349
C.2 Using TBB.......................................................................... 350
C.3 parallel-for..................................................................... 351
C.3.1 blocked-range............................................................ 351
C.3.2 Partitioners.................................................................. 352
C.4 pa ral lei .reduce................................................................. 353
C.5 paral lel-determlnistic.reduce ............................................ 354
C.6 parali el. pi pel i ne.............................................................. 354
C.7 pa rail el .invoke.................................................................. 354
Contents xiii
C.8 task_group........................................................................ 355
C.9 task................................................................................. 355
C.9.1 empty.task................................................................. 356
CIO atomic.............................................................................. 356
CU enume rabí e.t h read.specif ic................................................. 358
C.12 NotesonC++ll .................................................................... 358
C.13 History.............................................................................. 359
C.14 Summary............................................................................ 360
APPENDIX D C++11............................................................................... 361
D.I Declaring with auto ............................................................... 361
D.2 Lambda Expressions ............................................................... 361
D.3 std: :move......................................................................... 365
APPENDIXE Glossary............................................................................. 367
Bibliography............................................................................................ 391
Index.................................................................................................... 397
|
| any_adam_object | 1 |
| author | McCool, Michael Robison, Arch D. Reinders, James |
| author_GND | (DE-588)1195196970 |
| author_facet | McCool, Michael Robison, Arch D. Reinders, James |
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| author_sort | McCool, Michael |
| author_variant | m m mm a d r ad adr j r jr |
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| bvnumber | BV040386401 |
| classification_rvk | ST 151 ST 230 |
| ctrlnum | (OCoLC)811550443 (DE-599)BVBBV040386401 |
| discipline | Informatik |
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| id | DE-604.BV040386401 |
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| indexdate | 2024-07-10T00:22:54Z |
| institution | BVB |
| isbn | 9780124159938 |
| language | English |
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| owner | DE-384 DE-83 DE-473 DE-BY-UBG DE-29T DE-355 DE-BY-UBR DE-703 DE-858 DE-573 |
| owner_facet | DE-384 DE-83 DE-473 DE-BY-UBG DE-29T DE-355 DE-BY-UBR DE-703 DE-858 DE-573 |
| physical | XXVI, 406 S. Ill., graph. Darst. |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Elsevier, Morgan Kaufman |
| record_format | marc |
| spelling | McCool, Michael Verfasser aut Structured parallel programming patterns for efficient computation Michael McCool ; Arch Robison ; James Reinders Amsterdam [u.a.] Elsevier, Morgan Kaufman 2012 XXVI, 406 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturverzeichnis Seite 391-396 Software patterns Structured programming Parallelverarbeitung (DE-588)4075860-6 gnd rswk-swf Programmierung (DE-588)4076370-5 gnd rswk-swf Parallelrechner (DE-588)4173280-7 gnd rswk-swf Parallelverarbeitung (DE-588)4075860-6 s Programmierung (DE-588)4076370-5 s Parallelrechner (DE-588)4173280-7 s 1\p DE-604 Robison, Arch D. Verfasser aut Reinders, James Verfasser (DE-588)1195196970 aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025239817&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | McCool, Michael Robison, Arch D. Reinders, James Structured parallel programming patterns for efficient computation Software patterns Structured programming Parallelverarbeitung (DE-588)4075860-6 gnd Programmierung (DE-588)4076370-5 gnd Parallelrechner (DE-588)4173280-7 gnd |
| subject_GND | (DE-588)4075860-6 (DE-588)4076370-5 (DE-588)4173280-7 |
| title | Structured parallel programming patterns for efficient computation |
| title_auth | Structured parallel programming patterns for efficient computation |
| title_exact_search | Structured parallel programming patterns for efficient computation |
| title_full | Structured parallel programming patterns for efficient computation Michael McCool ; Arch Robison ; James Reinders |
| title_fullStr | Structured parallel programming patterns for efficient computation Michael McCool ; Arch Robison ; James Reinders |
| title_full_unstemmed | Structured parallel programming patterns for efficient computation Michael McCool ; Arch Robison ; James Reinders |
| title_short | Structured parallel programming |
| title_sort | structured parallel programming patterns for efficient computation |
| title_sub | patterns for efficient computation |
| topic | Software patterns Structured programming Parallelverarbeitung (DE-588)4075860-6 gnd Programmierung (DE-588)4076370-5 gnd Parallelrechner (DE-588)4173280-7 gnd |
| topic_facet | Software patterns Structured programming Parallelverarbeitung Programmierung Parallelrechner |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025239817&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT mccoolmichael structuredparallelprogrammingpatternsforefficientcomputation AT robisonarchd structuredparallelprogrammingpatternsforefficientcomputation AT reindersjames structuredparallelprogrammingpatternsforefficientcomputation |