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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.
Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online
View online- Format:
- Book
- Series:
- Lecture Notes in Computer Science, 1611-3349 ; 14591
- Language:
- English
- Subjects (All):
- 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.
- Local Subjects:
- Software Engineering.
- Artificial Intelligence.
- Coding and Information Theory.
- Control Structures and Microprogramming.
- Input/Output and Data Communications.
- Logic Design.
- Physical Description:
- 1 online resource (0 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Includes bibliographical references and index.
- Other Format:
- Print version: Klusáček, Dalibor Job Scheduling Strategies for Parallel Processing
- ISBN:
- 9783031744303
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