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6th International Workshop, WACCPD 2019, Denver, CO, USA, November 18, 2019, Revised Selected Papers

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The cover of “Accelerator Programming Using Directives” - Open Library.

"Accelerator Programming Using Directives" is published by Springer in Jun 25, 2020 - Cham and it has 174 pages.


“Accelerator Programming Using Directives” Metadata:

  • Title: ➤  Accelerator Programming Using Directives
  • Authors:
  • Number of Pages: 174
  • Publisher: Springer
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  • Publish Location: Cham

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  • Format: paperback

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"Accelerator Programming Using Directives" Description:

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Intro -- Preface -- Organization -- Contents -- Porting Scientific Applications to Heterogeneous Architectures Using Directives -- GPU Implementation of a Sophisticated Implicit Low-Order Finite Element Solver with FP21-32-64 Computation Using OpenACC -- 1 Introduction -- 2 Baseline Solver on CPU-based Computers -- 2.1 The Target Problem -- 2.2 The Solver Algorithm -- 2.3 Implementation of Solver for CPU Systems -- 3 GPU Implementation Using OpenACC -- 3.1 Baseline Implementation -- 3.2 Introduction of Lower-Precision Data Types -- 3.3 Miscellaneous Optimizations in the Solver -- 4 Performance Measurement -- 4.1 Performance Evaluation of FP21 Computation -- 4.2 Performance Evaluation of the Entire Solver -- 5 Conclusions -- References -- Acceleration in Acoustic Wave Propagation Modelling Using OpenACC/OpenMP and Its Hybrid for the Global Monitoring System -- 1 Introduction -- 2 Computing Environment -- 3 3D-SSFPE -- 3.1 Overview -- 3.2 Implementation -- 3.3 Performance Evaluation and Conclusion -- 4 Global Acoustic Simulation with FDM -- 4.1 Overview -- 4.2 Formulation -- 4.3 Yin-Yang Grid -- 4.4 Computational Schemes -- 4.5 Performance Optimization -- 4.6 Software Evaluation -- 5 Conclusion -- References -- Accelerating the Performance of Modal Aerosol Module of E3SM Using OpenACC -- 1 Introduction -- 2 OpenACC Programming Model -- 2.1 Parallelizing Loops -- 2.2 Data Transfer -- 3 Experimental Platforms and Approach -- 4 MAM Algorithms and Kernels -- 5 Offloading Computations to GPUs -- 5.1 Kernel: subgrid_mean_updraft -- 5.2 Kernel: hetfrz_classnuc_cam_calc -- 5.3 Kernel: ccncalc -- 5.4 Kernel: nsubmix -- 6 MAM Kernel Performance Discussion -- 6.1 Multi-Process Service (MPS) -- 6.2 Scaling Results -- 7 Summary and Conclusion -- References

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