Accelerator Programming Using Directives - Info and Reading Options

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Intro -- Preface -- Organization -- Contents -- Directive Alternatives -- Can Fortran's `do concurrent' Replace Directives for Accelerated Computing?*-8pt -- 1 Introduction -- 2 Code and Test Description -- 2.1 Code Description -- 2.2 Test Description -- 2.3 Computational Environment -- 2.4 Baseline Performance Results -- 3 Implementation -- 3.1 The Fortran do concurrent construct -- 3.2 Code Versions -- 3.3 Compiler Flag Options -- 4 Results -- 4.1 Results Using nvfortran -- 4.2 Results Using gfortran -- 4.3 Results Using ifort -- 4.4 Experimental Results -- 5 Discussion -- 6 Artifact Availability Statement -- References -- Achieving Near-Native Runtime Performance and Cross-Platform Performance Portability for Random Number Generation Through SYCL Interoperability -- 1 Introduction -- 1.1 Contribution -- 2 Related Work -- 2.1 Parallel Programming Frameworks -- 2.2 Linear Algebra Libraries -- 2.3 The Proposed Approach -- 3 SYCL Overview -- 4 SYCL-Based RNG Implementations of NVIDIA and AMD GPUs in oneMKL -- 4.1 Technical Aspects -- 4.2 Native cuRAND and hipRAND flow -- 4.3 Implementation of cuRAND and hipRAND in oneMKL -- 5 Benchmark Applications -- 5.1 Random Number Generation Burner -- 5.2 FastCaloSim -- 6 Performance Evaluation -- 6.1 Performance Portability Metrics -- 6.2 Hardware Specifications -- 6.3 Software Specifications -- 7 Results -- 8 Conclusions and Future Work -- References -- Directive Extensions -- Extending OpenMP for Machine Learning-Driven Adaptation -- 1 Introduction -- 2 A Motivating Example -- 3 A Vision -- 4 The declare adaptation Directive -- 4.1 Syntax and Semantics of declare adaptation -- 4.2 Examples Using metadirective -- 5 Implementation -- 5.1 Compiler Support -- 5.2 Runtime Support -- 6 Evaluation -- 6.1 Software and Hardware Configurations -- 6.2 Performance Results -- 6.3 Accuracy of Prediction Models

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