عنوان
پدید آورنده
موضوع
رده
QA76.751
QA76
.
751
کتابخانه
محل استقرار
3030122743
9783030122744
9783030122737
Accelerator programming using Directives :
[Book]
5th International Workshop, WACCPD 2018, Dallas, TX, USA, November 11-17, 2018, Proceedings /
Sunita Chandrasekaran, Guido Juckeland, Sandra Wienke (eds.).
Cham, Switzerland :
Springer,
2019.
1 online resource (ix, 137 pages) :
illustrations (some color)
Lecture notes in computer science ;
LNCS sublibrary. SL 2, Programming and software engineering
11381
Includes author index.
International conference proceedings.
Intro; 2018: 5th Workshop on Accelerator Programming Using Directives (WACCPD) http://waccpd.org/; Organization; Contents; Applications; Heterogeneous Programming and Optimization of Gyrokinetic Toroidal Code Using Directives; Abstract; 1 Introduction; 2 Simulation Platforms: Titan, SummitDev, and Summit; 3 Scientific Methods of GTC; 4 Porting and Optimization Strategy; 5 GPU Porting Status; 6 Performance; 6.1 Solver Performance Improvement; 6.2 Scaling Performance; 6.3 Tests on SummitDev; 6.4 Performance and Scalability on Summit; 7 Conclusion; Acknowledgments; References
2 Background on Warp Specialization and Elision3 Fission of Multiple-Parallel-Region Target Regions; 4 Overlapping Data Transfer and Split Kernel Execution; 5 Pipelining Data Transfer and Parallel Loop Execution; 6 Custom Grid Geometry; 7 Estimating Potential Benefits of Transformations; 7.1 Combining Kernel Splitting with Elision Improves Performance; 7.2 Elision Amplifies Benefits of Custom Grid Geometry; 7.3 Pipelining Improves Performance for High Trip Counts; 8 Related Work; 9 Conclusion
6.1 Use of OpenACC for the Squared Distance Calculation: GPU6.2 Comparison to CUDA Kernel; 6.3 OpenACC on the CPU; 6.4 Comparison to a Purely BLAS-Based Algorithm: Lowest Programming Knowledge Required; 7 Programming Effort; 8 Conclusions; A Artifact Description Appendix: Using Compiler Directives for Performance Portability in Scientific Computing: Kernels from Molecular Simulation; A.1 Abstract; A.2 Description; References; Using OpenMP; OpenMP Code Offloading: Splitting GPU Kernels, Pipelining Communication and Computation, and Selecting Better Grid Geometries; 1 Introduction
A Artifact Description Appendix: OpenMP Target Offloading: Splitting GPU Kernels, Pipelining Communication and Computation, and Selecting Better Grid GeometriesA. 1 Abstract; A.2 Description; A.3 Installation; A.4 Experiment Workflow; A.5 Evaluation and Expected Results; A.6 Experiment Customization; A.7 Notes; References; A Case Study for Performance Portability Using OpenMP 4.5; 1 Introduction; 2 The GPP Kernel and Its Baseline CPU Implementation; 2.1 GPP Kernel; 2.2 Baseline CPU Implementation; 3 GPU Implementations of the GPP Kernel; 3.1 Implementation Groundwork; 3.2 OpenMP 4.5
Using Compiler Directives for Performance Portability in Scientific Computing: Kernels from Molecular Simulation1 Introduction; 2 Background; 2.1 Performance Portability; 2.2 Molecular Dynamics; 3 Portability Goals: Timings and Architectures; 4 Designing the Kernels; 4.1 The Programming Model and Its Portable Subset; 4.2 Modular Format and Kernels; 5 Binning Module (Neighbor-List Updates): Bin-Assign, Bin-Count, and Bin Sorting; 5.1 Bin-Assign, Bin-Count; 5.2 Parallel Algorithm Design for Bin Count and Gather; 6 The Squared Pairwise Distance Calculation: Performance, Portability, and Effort
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This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Accelerator Programming Using Directives, WACCPD 2018, held in Dallas, TX, USA, in November 2018. The 6 full papers presented have been carefully reviewed and selected from 12 submissions. The papers share knowledge and experiences to program emerging complex parallel computing systems. They are organized in the following three sections: applications; using openMP; and program evaluation.
Springer Nature
com.springer.onix.9783030122744
9783030122737
9783030122751
WACCPD 2018
Computer programming, Congresses.
High performance computing, Congresses.
Computer programming.
High performance computing.
COM051010
UMC
UMX
UMX
005
.
13
23
QA76
.
751
Chandrasekaran, Sunita
Juckeland, Guido
Wienke, Sandra
WACCPD (Workshop)(5th :2018 :, Dallas, Tex.)
20200823082910.0
pn
مطالعه متن کتاب [Book]
Y
