Parallel Computational Fluid Dynamics

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Author(s): Jang-Hyuk Kwon, Jacques Periaux, Pat Fox, N. Satofuka, A. Ecer
Publisher: Elsevier
Year: 2007

Language: English
Pages: 319

Parallel Computational Fluid Dynamics......Page 4
Copyright Page......Page 5
Table of Contents......Page 8
Preface......Page 6
Acknowledgements......Page 7
1. Introduction......Page 12
2. Hybrid DSMC-NS Scheme Using 3D Unstructured Mesh......Page 13
3. Results and Discussions......Page 16
REFERENCES......Page 20
1. Introduction......Page 22
2. Computational Grid......Page 23
3. Hydrodynamics......Page 24
4. Acoustics......Page 25
REFERENCES......Page 29
2. Actual problems......Page 30
3. On-the-fly visualization on parallel systems......Page 33
4. S-VR structure......Page 34
5. Hybrid UNIX-Windows versions......Page 35
6. GDT package effectiveness......Page 36
REFERENCES......Page 37
1. Introduction......Page 38
3. Multi-Block Topology......Page 39
4. Markov Prefetching......Page 40
5. Results......Page 42
6. Conclusion and Future Work......Page 44
REFERENCES......Page 45
1. INTRODUCTION......Page 46
2. MATHEMATICAL FORMULATION......Page 48
4. RESULTS......Page 51
REFERENCES......Page 53
1. Introduction......Page 54
2. Theories of droplet collision......Page 55
3. Numerical method......Page 56
4. Numerical results......Page 57
5. Conclusions......Page 58
REFERENCES......Page 59
INTRODUCTION......Page 62
IMPLEMENTATION AND CASE SPECIFIC DETAILS......Page 63
SIMULATION RESULTS AND DISCUSSION......Page 64
PARALLELIZATION......Page 65
CONCLUSIONS......Page 66
REFERENCES......Page 69
1. Introduction......Page 70
2. Parallel Implementation of Grid Assembly......Page 71
3. Test results......Page 74
4. Conclusion......Page 76
REFERENCES......Page 77
1. MHD and its streamfunction approach......Page 78
2. Finite element discretization......Page 79
3. Nonlinear and linear solvers......Page 80
4. Numerical experiments: Tilt Instability......Page 81
REFERENCES......Page 83
1. INTRODUCTION......Page 86
2. MULTISCALE METHOD......Page 87
3. TWO-SCALE PHASE-FIELD MODEL IN FLOW FIELD......Page 89
4. NUMERICAL METHODS AND RESULTS......Page 91
5. APPROACH TO PARALLELIZATION AND RESULTS......Page 92
REFERENCES......Page 93
1. INTRODUCTION......Page 94
2. NUMERICAL METHOD......Page 95
3. MULTIGRID PROPERTY OF PRESSURE EQUATION SOLVER......Page 97
4. TURBULENT CHANNEL FLOW SIMULATION......Page 99
5. CONCLUDING REMARKS......Page 100
REFERENCES......Page 101
1. INTRODUCTION......Page 102
2. FLOW CONDITIONS......Page 103
4. RESULTS......Page 104
5. SUMMARY......Page 108
REFERENCES......Page 109
1. INTRODUCTION......Page 110
2. e-AIRS Portal......Page 111
3. Computational Simulation Service......Page 112
4. Remote Experiment Service......Page 115
6. Conclusions......Page 116
References......Page 117
1 Introduction......Page 118
2 Block distribution across Grid sites......Page 119
3 Test Case......Page 121
4 Conclusions......Page 124
6. References......Page 125
2. INTRODUCTION......Page 126
3. NEW COOPERATIVE STRATEGY FOR MASSIVE PARALLEL ITERATIVE COMPUTATIONS......Page 127
4. IMPLEMENTATION OF THE COOPERATIVE STRATEGY FOR PARALLEL CFD COMPUTATIONS......Page 128
5. ANALYSIS OF RESULTS......Page 130
REFERENCES......Page 132
1. Introduction......Page 134
3. Fault Tolerant Approaches......Page 135
4. Performance Recovery Results......Page 138
5. Conclusion......Page 139
REFERENCES......Page 140
1. Motivation of Time Decomposition in the Parallel CFD context......Page 142
2. ODE approach for CFD problem......Page 143
3. Spectral Deferred Correction Method......Page 144
4. Parallel SDC: a time domain decomposition pipelined approach......Page 145
5. conclusions......Page 146
REFERENCES......Page 147
1. Introduction......Page 150
3. Performance evaluation for JAXA aerospace CFD applications on the CeNSS......Page 151
4. Performance prediction for the JAXA CFD applications with hybrid programming......Page 154
5. Summary......Page 155
References......Page 156
1. INTRODUCTION......Page 158
2. MEASURING TIMING INFORMATION USING A MPI PROFILING LIBRARY......Page 159
4. HOW THE LOAD BALANCER COMMUNICATE WITH THE APPLICATION PROGRAM......Page 161
5. EXPERIMENTAL RESULTS......Page 162
REFERENCES......Page 164
1. Introduction......Page 166
3. Reuse Procedures of OSSs......Page 167
4. Case Study......Page 172
References......Page 174
1. INTRODUCTION......Page 176
2. CACTUS FRAMEWORK......Page 177
3. NUMERICAL RESULTS......Page 179
References......Page 183
1. Introduction......Page 184
3. Numerical and parallel Algorithms......Page 185
4. Results......Page 186
6. Acknowledgments......Page 188
REFERENCES......Page 189
1. Introduction......Page 192
2. Numerical Approach......Page 193
3. Code Validation......Page 194
4. Numerical Results......Page 195
REFERENCES......Page 199
1. INTRODUCTION......Page 200
2. MODEL......Page 201
4. RESULTS......Page 202
REFERENCES......Page 203
1. Introduction and motivation......Page 208
2. The test cases......Page 209
3. Characteristic of numerical model and performed runs......Page 211
4. The spin up......Page 212
4. Analysis of model performances......Page 213
Acknowlegment......Page 216
Reference......Page 217
INTRODUCTION......Page 218
1. THE GLOBAL/REGIONAL NON-HYDROSTATIC ATMOSPHERIC MODEL......Page 219
3. IMPLEMENTATION DETAILS AND COMPUTATIONAL EXPERIMENTS......Page 220
4. COMPUTATIONAL RESULTS......Page 221
5. CONCLUSIONS......Page 224
REFERENCES......Page 225
1. INTRODUCTION......Page 226
2. CONSERVATIVE DISCONTINUOUS GALERKIN MODEL......Page 227
4. PARALLEL IMPLEMENTATION......Page 229
5. CONCLUSION......Page 231
REFERENCES......Page 232
1. Introduction......Page 234
2. Brief Description of DWD GME Model......Page 235
3. Computational Performance of GME on Xeon Cluster (KISTI HAMEL)......Page 236
5. Seasonal Prediction Experiments with GME......Page 237
6. Summary......Page 238
REFERENCES......Page 239
Numerical Method......Page 242
Results and Discussion......Page 243
Conclusions......Page 244
REFERENCES......Page 245
INTRODUCTION......Page 250
IMPLICIT KINETIC SCHEMES FOR THE EULER EQUATIONS......Page 251
IMPLICIT KINETIC SCHEMES FOR THE IDEAL MHD EQUATIONS......Page 252
NUMERICAL RESULTS AND DISCUSSIONS......Page 253
REFERENCES......Page 255
1. INTRODUCTION......Page 256
2. ANALYSIS......Page 257
3. RESULTS......Page 259
REFERENCES......Page 262
1. INTRODUCTION......Page 264
2. EXPERIMENTAL CONFIGURATION......Page 265
4. RESULTS AND DISCUSSIONS......Page 267
References......Page 271
1. INTRODUCTION......Page 272
2. MODEL......Page 273
3. PARALLELIZATION TECHNIQUE......Page 274
4. RESULTS......Page 276
List of Figures......Page 277
1. INTRODUCTION......Page 280
2. THREE-DIMENSIONAL UNSTRUCTURED MOVING-GRID FINITE-VOLUME METHOD......Page 281
3. A FLUID-STRUCTURE INTERACTION PROBLEM......Page 285
REFERENCES......Page 287
1. INTRODUCTION......Page 288
2. GOVERNING EQUATIONS AND NUMERICAL TECHNIQUES......Page 289
3. NUMERICAL RESULTS......Page 291
ACKNOWLEDGEMENT......Page 294
References......Page 295
1. INTRODUCTION......Page 296
3. NUMERICAL METHOD......Page 297
4. RESULTS AND DISCUSSION......Page 299
5. CONCLUSIONS......Page 301
REFERENCES......Page 303
1. INTRODUCTION......Page 304
2. AERODYNAMIC OPTIMIZATION PLATFORM......Page 305
3. PARALLEL COMPUTATION PLATFORM......Page 307
4. OPTIMIZATION CASES AND DISCUSSION......Page 308
5. CONCLUSION AND PROSPECT......Page 310
REFERENCES......Page 311
1. INTRODUCTION......Page 312
2. GOVERNING EQUATIONS AND NUMERICAL METHODS......Page 313
3. SPECIFIC STUDY OF PROPULSIVE STAGE......Page 315
4. OPTIMISATION WITH GENETIC ALGORITHM......Page 316
ACKNOWLEDGEMENT......Page 319