Asynchronous Many-Task Systems and Applications

Third International Workshop, WAMTA 2025, St. Louis, MO, USA, February 19–21, 2025, Proceedings

AvPatrick Diehl,Qinglei Cao

Häftad, Engelska, 2025

Del 15690 i serien Lecture Notes in Computer Science

1 385 kr

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Beskrivning

This book constitutes the refereed proceedings of the Third International Workshop on Asynchronous Many-Task Systems and Applications, WAMTA 2025, held in St. Louis, Missouri, USA during February 19–21, 2025.The 13 full papers and 2 short papers included in this book were carefully reviewed and selected from 18 submissions. The WAMTA 2025 conference proceedings help developers, users, and proponents of these models and systems share experience, discuss how they meet the challenges posed by Exascale system architectures, and explore opportunities for increased performance, robustness, productivity, and full-system utilization.

Produktinformation

Utgivningsdatum:2025-10-02
Mått:155 x 235 x 12 mm
Vikt:312 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:188
Förlag:Springer International Publishing AG
ISBN:9783031971952

Utforska kategorier

Hårdvara inom Data och IT
Systemvetenskap och AI inom Data och IT

Innehållsförteckning

- A Task-parallel Pipeline Programming Model with Token Dependency..- Dynamic Resource Management: Comparison of Asynchronous Many-Task (AMT) and Dynamic Processes with PSets (DPP)..- Closing a Source Complexity Gap between Chapel and HPX..- Fail-stop Failure Protection for Coordinated Work Stealing of Tasks that Communicate through Futures..- Futures in Task Graphs – Extending Taskflow With Dynamic Data Dependencies..- Adaptively Optimizing the Performance of HPX's Parallel Algorithms..- GPRat: Gaussian Process Regression with Asynchronous Tasks..- Supporting OpenMP Free Agents by Leveraging the nOS-V Threading Library..- Analyzing Data Sparsity in Global and Compact Support Radial Basis Functions for 3D Unstructured Mesh Deformation..- Scalable Block-Sparse Matrix Multiplication Using Template Task Graphs..- Type-level invariants for SPMD programming with Rust..- Comparing and Contrasting User and Runtime Directed Data Placement Strategies for Owner-Compute, Multi-Accelerator Distributed Task Based Scheduling..- Toward Portable GPU Performance: Julia Recursive Implementation of TRMM and TRSM..- Contemplating a Lightweight Communication Interface for Asynchronous Many-Task Systems..- Leveraging Hardware-Aware Computation in Mixed-Precision Matrix Multiply: A Tile-Centric Approach.

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