1.

Record Nr.

UNINA9910983328803321

Titolo

Job Scheduling Strategies for Parallel Processing : 27th International Workshop, JSSPP 2024, San Francisco, CA, USA, May 31, 2024, Revised Selected Papers / / edited by Dalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

9783031744303

9783031744297

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (0 pages)

Collana

Lecture Notes in Computer Science, , 1611-3349 ; ; 14591

Disciplina

004.24

Soggetti

Software engineering

Artificial intelligence

Coding theory

Information theory

Microprogramming

Computer input-output equipment

Logic design

Software Engineering

Artificial Intelligence

Coding and Information Theory

Control Structures and Microprogramming

Input/Output and Data Communications

Logic Design

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

-- Technical papers.  -- Real-life HPC Workload Trace Featuring Refined Job Runtime Estimates.  -- An Empirical Study of Machine Learning-based Synthetic Job Trace Generation Methods.  -- Clustering Based Job Runtime Prediction for Backfilling Using Classification.  -- Launchpad: Learning to Schedule Using Offline and Online RL Methods.  -- Radical-Cylon: A Heterogeneous Data Pipeline for Scientific Computing.  -- Evaluation of Heuristic Task-to-Thread Mapping Using



Static and Dynamic Approaches.  -- Challenges in parallel matrix chain multiplication.  -- A node selection method for on-demand job execution with considering deadline constraints.  -- Maximizing Energy Budget Utilization Using Dynamic Power Cap Control.  -- Run your HPC jobs in Eco-Mode: revealing the potential of user-assisted power capping in supercomputing systems.

Sommario/riassunto

This book constitutes the refereed proceedings of the 27th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2024, held in San Francisco, CA, USA, on May 31, 2024. The 10 full papers included in this book were carefully reviewed and selected from 15 submissions. The JSSPP 2024 covers several interesting problems within the resource management and scheduling domains.