Job Scheduling Strategies for Parallel Processing : 27th International Workshop, JSSPP 2024, San Francisco, CA, USA, May 31, 2024, Revised Selected Papers
Job Scheduling Strategies for Parallel Processing : 27th International Workshop, JSSPP 2024, San Francisco, CA, USA, May 31, 2024, Revised Selected Papers
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ISBN No.: 9783031744297
Pages: x, 203
Year: 202412
Format: Trade Paper
Price: $ 110.39
Dispatch delay: Dispatched between 7 to 15 days
Status: Available (Forthcoming)

- 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.


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