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High performance computing in science and engineering '13 : transactions of the High Performance Computing Center, Stuttgart (HLRS) 2013 / / Wolfgang E. Nagel, Dietmar H. Kroner, Michael M. Resch, editors
| High performance computing in science and engineering '13 : transactions of the High Performance Computing Center, Stuttgart (HLRS) 2013 / / Wolfgang E. Nagel, Dietmar H. Kroner, Michael M. Resch, editors |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham [Switzerland] : , : Springer, , 2013 |
| Descrizione fisica | 1 online resource (xiii, 697 pages) : illustrations (some color) |
| Disciplina |
004
502.85435 510 519 |
| Collana | Gale eBooks |
| Soggetto topico |
High performance computing
Science - Data processing Engineering - Data processing |
| ISBN | 3-319-02165-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Physics -- Solid State Physics -- Chemistry -- Reacting Flows -- Computational Fluid Dynamics -- Transport and Climate -- Miscellaneous Topics. |
| Record Nr. | UNINA-9910437869703321 |
| Cham [Switzerland] : , : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
High Performance Computing in Science and Engineering '21 : Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2021 / / edited by Wolfgang E. Nagel, Dietmar H. Kröner, Michael M. Resch
| High Performance Computing in Science and Engineering '21 : Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2021 / / edited by Wolfgang E. Nagel, Dietmar H. Kröner, Michael M. Resch |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (516 pages) |
| Disciplina |
004.11
502.85435 |
| Soggetto topico |
Mathematics—Data processing
Mathematical physics Engineering mathematics Engineering—Data processing Chemistry, Physical and theoretical Computer science—Mathematics Computational Science and Engineering Theoretical, Mathematical and Computational Physics Mathematical and Computational Engineering Applications Theoretical Chemistry Mathematical Applications in Computer Science Càlcul intensiu (Informàtica) |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-17937-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Physics -- Part II Molecules, Interfaces, and Solids -- Part III Reactive Flows -- Part IV Computational Fluid Dynamics -- Part V Transport and Climate -- Part VI Computer Science -- Part VII Miscellaneous Topics. |
| Record Nr. | UNINA-9910647397803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
High-performance computing [[electronic resource] ] : paradigm and infrastructure / / edited by Laurence T. Yang, Minyi Guo
| High-performance computing [[electronic resource] ] : paradigm and infrastructure / / edited by Laurence T. Yang, Minyi Guo |
| Pubbl/distr/stampa | Hoboken, N.J., : J. Wiley, c2006 |
| Descrizione fisica | 1 online resource (818 p.) |
| Disciplina |
004/.35
502.85435 |
| Altri autori (Persone) |
YangLaurence Tianruo
GuoMinyi |
| Collana | Wiley series on parallel and distributed computing |
| Soggetto topico |
High performance computing
Parallel processing (Electronic computers) Electronic data processing - Distributed processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-31131-2
9786610311316 0-470-36083-6 0-471-73271-0 0-471-73270-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
HIGH-PERFORMANCE COMPUTING; Contents; Preface; Contributors; PART 1 Programming Model; 1 ClusterGOP: A High-Level Programming Environment for Clusters; 1.1 Introduction; 1.2 GOP Model and ClusterGOP Architecture; 1.2.1 The ClusterGOP Architecture; 1.3 VisualGOP; 1.4 The ClusterGOP Library; 1.5 MPMD programming Support; 1.6 Programming Using ClusterGOP; 1.6.1 Support for Program Development; 1.6.2 Performance of ClusterGOP; 1.7 Summary; 2 The Challenge of Providing A High-Level Programming Model for High-Performance Computing; 2.1 Introduction; 2.2 HPC Architectures
2.2.1 Early Parallel Processing Platforms2.2.2 Current HPC Systems; 2.3 HPC Programming Models: The First Generation; 2.3.1 The Message Passing Interface (MPI); 2.3.2 High Performance Fortran (HPF); 2.4 The Second Generation of HPC Programming Models; 2.4.1 OpenMP; 2.4.2 Other Shared-Memory APIs; 2.4.3 Is A Standard High-Level API for HPC in Sight?; 2.5 OpenMP for DMPs; 2.5.1 A Basic Translation to GA; 2.5.2 Implementing Sequential Regions; 2.5.3 Data and Work Distribution in GA; 2.5.4 Irregular Computation Example; 2.6 Experiments with OpenMP on DMPs; 2.7 Conclusions 3 SAT: Toward Structured Parallelism Using Skeletons3.1 Introduction; 3.2 SAT: A Methodology Outline; 3.2.1 Motivation and Methodology; 3.2.2 Abstraction View: Basic Skeletons and Compositions; 3.2.3 Performance View: Collective Operations; 3.2.4 SAT: Combining Abstraction with Performance; 3.3 Skeletons and Collective Operations; 3.3.1 The H Skeleton and Its Standard Implementation; 3.3.2 Transformations for Performance View; 3.4 Case Study: Maximum Segment SUM (MSS); 3.5 Performance Aspect in SAT; 3.5.1 Performance Predictability; 3.5.2 Absolute Performance; 3.6 Conclusions and Related Work 4 Bulk-Synchronous Parallelism: An Emerging Paradigm of High-Performance Computing4.1 The BSP Model; 4.1.2 BSP Versus Traditional Parallelism; 4.1.3 Memory Efficiency; 4.1.4 Memory Management; 4.1.5 Heterogeneity; 4.1.6 Subset Synchronization; 4.1.7 Other Variants of BSP; 4.2 BSP Programming; 4.2.1 The BSPlib Standard; 4.2.2 Beyond BSPlib; 4.3 Conclusions; 5 Cilk Versus MPI: Comparing Two Parallel Programming Styles on Heterogeneous Systems; 5.1 Introduction; 5.1.1 Message-Passing Run-Time Systems; 5.1.2 Cilk's Dataflow Model; 5.1.3 Terminology; 5.2 Experiments; 5.2.1 Programs; 5.2.2 Test Bed 5.3 Results5.3.1 Fibonacci; 5.3.2 Traveling Salesman Problem; 5.3.3 N-Queens Problem; 5.3.4 Matrix Multiplication; 5.3.5 Finite Differencing; 5.3.6 Program Complexity; 5.4 Conclusion; 6 Nested Parallelism and Pipelining in OpenMP; 6.1 Introduction; 6.2 OpenMP Extensions for Nested Parallelism; 6.2.1 Parallelism Definition; 6.2.2 Thread Groups; 6.2.3 Evaluation of the Proposal; 6.3 OpenMP Extensions For Thread Synchronization; 6.3.1 Precedence Relations; 6.3.2 Evaluation of the Proposal; 6.4 Summary; 7 OpenMP for Chip Multiprocessors; 7.1 Introduction; 7.2 3SoC Architecture Overview 7.2.1 Quads |
| Record Nr. | UNINA-9910143568803321 |
| Hoboken, N.J., : J. Wiley, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
High-performance computing [[electronic resource] ] : paradigm and infrastructure / / edited by Laurence T. Yang, Minyi Guo
| High-performance computing [[electronic resource] ] : paradigm and infrastructure / / edited by Laurence T. Yang, Minyi Guo |
| Pubbl/distr/stampa | Hoboken, N.J., : J. Wiley, c2006 |
| Descrizione fisica | 1 online resource (818 p.) |
| Disciplina |
004/.35
502.85435 |
| Altri autori (Persone) |
YangLaurence Tianruo
GuoMinyi |
| Collana | Wiley series on parallel and distributed computing |
| Soggetto topico |
High performance computing
Parallel processing (Electronic computers) Electronic data processing - Distributed processing |
| ISBN |
1-280-31131-2
9786610311316 0-470-36083-6 0-471-73271-0 0-471-73270-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
HIGH-PERFORMANCE COMPUTING; Contents; Preface; Contributors; PART 1 Programming Model; 1 ClusterGOP: A High-Level Programming Environment for Clusters; 1.1 Introduction; 1.2 GOP Model and ClusterGOP Architecture; 1.2.1 The ClusterGOP Architecture; 1.3 VisualGOP; 1.4 The ClusterGOP Library; 1.5 MPMD programming Support; 1.6 Programming Using ClusterGOP; 1.6.1 Support for Program Development; 1.6.2 Performance of ClusterGOP; 1.7 Summary; 2 The Challenge of Providing A High-Level Programming Model for High-Performance Computing; 2.1 Introduction; 2.2 HPC Architectures
2.2.1 Early Parallel Processing Platforms2.2.2 Current HPC Systems; 2.3 HPC Programming Models: The First Generation; 2.3.1 The Message Passing Interface (MPI); 2.3.2 High Performance Fortran (HPF); 2.4 The Second Generation of HPC Programming Models; 2.4.1 OpenMP; 2.4.2 Other Shared-Memory APIs; 2.4.3 Is A Standard High-Level API for HPC in Sight?; 2.5 OpenMP for DMPs; 2.5.1 A Basic Translation to GA; 2.5.2 Implementing Sequential Regions; 2.5.3 Data and Work Distribution in GA; 2.5.4 Irregular Computation Example; 2.6 Experiments with OpenMP on DMPs; 2.7 Conclusions 3 SAT: Toward Structured Parallelism Using Skeletons3.1 Introduction; 3.2 SAT: A Methodology Outline; 3.2.1 Motivation and Methodology; 3.2.2 Abstraction View: Basic Skeletons and Compositions; 3.2.3 Performance View: Collective Operations; 3.2.4 SAT: Combining Abstraction with Performance; 3.3 Skeletons and Collective Operations; 3.3.1 The H Skeleton and Its Standard Implementation; 3.3.2 Transformations for Performance View; 3.4 Case Study: Maximum Segment SUM (MSS); 3.5 Performance Aspect in SAT; 3.5.1 Performance Predictability; 3.5.2 Absolute Performance; 3.6 Conclusions and Related Work 4 Bulk-Synchronous Parallelism: An Emerging Paradigm of High-Performance Computing4.1 The BSP Model; 4.1.2 BSP Versus Traditional Parallelism; 4.1.3 Memory Efficiency; 4.1.4 Memory Management; 4.1.5 Heterogeneity; 4.1.6 Subset Synchronization; 4.1.7 Other Variants of BSP; 4.2 BSP Programming; 4.2.1 The BSPlib Standard; 4.2.2 Beyond BSPlib; 4.3 Conclusions; 5 Cilk Versus MPI: Comparing Two Parallel Programming Styles on Heterogeneous Systems; 5.1 Introduction; 5.1.1 Message-Passing Run-Time Systems; 5.1.2 Cilk's Dataflow Model; 5.1.3 Terminology; 5.2 Experiments; 5.2.1 Programs; 5.2.2 Test Bed 5.3 Results5.3.1 Fibonacci; 5.3.2 Traveling Salesman Problem; 5.3.3 N-Queens Problem; 5.3.4 Matrix Multiplication; 5.3.5 Finite Differencing; 5.3.6 Program Complexity; 5.4 Conclusion; 6 Nested Parallelism and Pipelining in OpenMP; 6.1 Introduction; 6.2 OpenMP Extensions for Nested Parallelism; 6.2.1 Parallelism Definition; 6.2.2 Thread Groups; 6.2.3 Evaluation of the Proposal; 6.3 OpenMP Extensions For Thread Synchronization; 6.3.1 Precedence Relations; 6.3.2 Evaluation of the Proposal; 6.4 Summary; 7 OpenMP for Chip Multiprocessors; 7.1 Introduction; 7.2 3SoC Architecture Overview 7.2.1 Quads |
| Record Nr. | UNINA-9910830849003321 |
| Hoboken, N.J., : J. Wiley, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Principles of Parallel Scientific Computing : A First Guide to Numerical Concepts and Programming Methods / / by Tobias Weinzierl
| Principles of Parallel Scientific Computing : A First Guide to Numerical Concepts and Programming Methods / / by Tobias Weinzierl |
| Autore | Weinzierl Tobias |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (302 pages) |
| Disciplina |
004.35
502.85435 |
| Collana | Undergraduate Topics in Computer Science |
| Soggetto topico |
Computer science - Mathematics
Computers Computer programming Electronic digital computers - Evaluation Mathematics - Data processing Mathematics of Computing Hardware Performance and Reliability Programming Techniques System Performance and Evaluation Computational Science and Engineering |
| ISBN |
9783030761943
9783030761936 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. The Pillars of Science -- 2. Moore Myths -- 3. Our Model Problem -- 4. Floating Point Numbers -- 5. A Simplistic Machine Model -- 6. Round-off Error Propagation -- 7. SIMD Vector Crunching -- 8. Arithmetic Stability of an Implementation -- 9. Vectorisation of the Model Problem -- 10. Conditioning and Well-posedness -- 11. Taylor Expansion -- 12. Ordinary Differential Equations -- 13. Accuracy and Appropriateness of Numerical Schemes -- 14. Writing Parallel Codes -- 15. Upscaling Methods -- 16. OpenMP Primer -- 17. Shared Memory Tasking -- 18. GPGPUs with OpenMP -- 19. Higher Order Methods -- 20. Adaptive Time Stepping. |
| Record Nr. | UNINA-9910544857603321 |
Weinzierl Tobias
|
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||