Job Scheduling Strategies for Parallel Processing 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers /
This book constitutes the thoroughly refereed post-conference proceedings of the 26th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2023, held in St. Petersburg, FL, USA, during May 19, 2023. The 8 full papers and one keynote paper included in this book were care...
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| 団体著者: | |
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| その他の著者: | , , |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| 版: | 1st ed. 2023. |
| シリーズ: | Lecture Notes in Computer Science,
14283 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-031-43943-8 |
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目次:
- Architecture of the Slurm Workload Manager
- Asynchronous Execution of Heterogeneous Tasks in ML-driven HPC Workflows
- Memory-Aware Latency Prediction Model for Concurrent Kernels in Partitionable GPUs: Simulations and Experiments
- Stragglers in Distributed Matrix Multiplication
- Optimization Metrics for the Evaluation of Batch Schedulers in HPC
- An experimental analysis of regression-obtained HPC scheduling heuristics
- An efficient approach based on graph neural networks for predicting wait time in job schedulers
- Evaluating the Potential of Coscheduling on High-Performance Computing Systems
- Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation.