Asynchronous Many-Task Systems and Applications (eBook, PDF)
First International Workshop, WAMTA 2023, Baton Rouge, LA, USA, February 15-17, 2023, Proceedings Redaktion: Diehl, Patrick; Kale, Laxmikant; Kaiser, Hartmut; Thoman, Peter
Asynchronous Many-Task Systems and Applications (eBook, PDF)
First International Workshop, WAMTA 2023, Baton Rouge, LA, USA, February 15-17, 2023, Proceedings Redaktion: Diehl, Patrick; Kale, Laxmikant; Kaiser, Hartmut; Thoman, Peter
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This book constitutes the proceedings of the Workshop on Asynchronous Many-Task Systems and Applications 2023 in Baton Rouge, LA, USA, February 2023. The workshop present the advantages and challenges of task-based programming on modern and future HPC systems. The 6 full papers included in this volume were carefully reviewed and selected from 7 submissions.
This book constitutes the proceedings of the Workshop on Asynchronous Many-Task Systems and Applications 2023 in Baton Rouge, LA, USA, February 2023. The workshop present the advantages and challenges of task-based programming on modern and future HPC systems.
The 6 full papers included in this volume were carefully reviewed and selected from 7 submissions.
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Inhaltsangabe
Command Horizons: Coalescing Data Dependencies while Maintaining Asynchronicity.- Extending Hedgehog's dataflow graphs to multi-node GPU architectures.- Scheduling Many-task Applications on Multi-clouds and Hybrid Clouds.- Framework for Extensible, Asynchronous Task Scheduling (FEATS) in Fortran.- Scalability of Gaussian Processes Using Asynchronous Tasks: A Comparison Between HPX and PETSc.- Shared memory parallelism in Modern C++ and HPX.
Command Horizons: Coalescing Data Dependencies while Maintaining Asynchronicity.- Extending Hedgehog's dataflow graphs to multi-node GPU architectures.- Scheduling Many-task Applications on Multi-clouds and Hybrid Clouds.- Framework for Extensible, Asynchronous Task Scheduling (FEATS) in Fortran.- Scalability of Gaussian Processes Using Asynchronous Tasks: A Comparison Between HPX and PETSc.- Shared memory parallelism in Modern C++ and HPX.
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