Enabling Bitwise Reproducibility for the Unstructured Computational Motif †
Article in Applied Sciences (January 2024)
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Accelerator Programming Using Directives
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 An Example of Porting PETSc Applications to Heterogeneous Platforms with OpenACC
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Altmetric BadgeChapter 2 Hybrid Fortran: High Productivity GPU Porting Framework Applied to Japanese Weather Prediction Model
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Altmetric BadgeChapter 3 Implicit Low-Order Unstructured Finite-Element Multiple Simulation Enhanced by Dense Computation Using OpenACC
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Altmetric BadgeChapter 4 The Design and Implementation of OpenMP 4.5 and OpenACC Backends for the RAJA C++ Performance Portability Layer
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Altmetric BadgeChapter 5 Enabling GPU Support for the COMPSs-Mobile Framework
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Altmetric BadgeChapter 6 Concurrent Parallel Processing on Graphics and Multicore Processors with OpenACC and OpenMP
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Altmetric BadgeChapter 7 Exploration of Supervised Machine Learning Techniques for Runtime Selection of CPU vs. GPU Execution in Java Programs
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Altmetric BadgeChapter 8 Automatic Testing of OpenACC Applications
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Altmetric BadgeChapter 9 Evaluation of Asynchronous Offloading Capabilities of Accelerator Programming Models for Multiple Devices
Attention for Chapter 7:
Exploration of Supervised Machine Learning Techniques for Runtime Selection of CPU vs. GPU Execution in Java Programs