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Asynchronous Many-Task Systems and Applications Second International Workshop, WAMTA 2024, Knoxville, TN, USA, February 14–16, 2024, Proceedings /

This book constitutes the refereed proceedings of the Second International Workshop on Asynchronous Many-Task Systems and Applications, WAMTA 2024, held in Knoxville, TN, USA during February 14–16, 2024. The 11 full papers and 5 short papers included in this book were carefully reviewed and selected...

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Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Diehl, Patrick (Editor), Schuchart, Joseph (Editor), Valero-Lara, Pedro (Editor), Bosilca, George (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edició:1st ed. 2024.
Col·lecció:Lecture Notes in Computer Science, 14626
Matèries:
Computer science.
Computers.
Computer Science.
Computer Hardware.
Accés en línia:https://doi.org/10.1007/978-3-031-61763-8
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Taula de continguts:
  • -- Speaking Pygion: Experiences Writing an Exascale Single Particle Imaging Code.
  • Futures for dynamic dependencies – Parallelizing the H-LU Factorization.
  • Evaluating PaRSEC through Matrix Computations in Scientific Applications.
  • Distributed Asynchronous Contact Mechanics with DARMA/vt.
  • IRIS Reimagined: Advancements in Intelligent Runtime System for Task Based Programming.
  • MatRIS: Addressing the Challenges for Portability and Heterogeneity using Tasking for Matrix Decomposition (Cholesky).
  • ParSweet: A Suite of Codes for Benchmarking and Testing Mutex-Based Parallel Systems.
  • Rethinking Programming Paradigms in the QC-HPC Context.
  • Dynamic Tuning of Core Counts to Maximize Performance in Object-based Runtime Systems.
  • Enhancing sparse direct solver scalability through runtime system automatic data partition.
  • Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study.
  • An abstraction for distributed stencil computations using Charm++.
  • DLA-Future: a task-based linear algebra library which provides a GPU enabled distributed eigensolver.
  • ALPI: Enhancing Portability and Interoperability of Task-Aware Libraries.
  • Evolving APGAS Programs: Automatic and Transparent Resource Adjustments at Runtime.
  • Optimizing Parallel System Efficiency: Dynamic Task Graph Adaptation with Recursive Tasks.
  • HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos using an astrophysics application.

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