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27th JSSPP 2024: San Francisco, CA, USA

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Dalibor Klusácek, Julita Corbalán, Gonzalo P. Rodrigo:
Job Scheduling Strategies for Parallel Processing - 27th International Workshop, JSSPP 2024, San Francisco, CA, USA, May 31, 2024, Revised Selected Papers. Lecture Notes in Computer Science 14591, Springer 2025, ISBN 978-3-031-74429-7
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Dalibor Klusácek, Václav Chlumský:
Real-Life HPC Workload Trace Featuring Refined Job Runtime Estimates. 1-19
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Monish Soundar Raj, Thomas MacDougall, Di Zhang, Dong Dai:
An Empirical Study of Machine Learning-Based Synthetic Job Trace Generation Methods. 20-39
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Hang Cui, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
Clustering Based Job Runtime Prediction for Backfilling Using Classification. 40-59
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  - conf/jsspp/VenkataswamyGGQ24
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Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi:
Launchpad: Learning to Schedule Using Offline and Online RL Methods. 60-83
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  - conf/jsspp/SarkerAPSLTKTMJF24
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Arup Kumar Sarker, Aymen Alsaadi, Niranda Perera, Mills Staylor, Gregor von Laszewski, Matteo Turilli, Ozgur Ozan Kilic, Mikhail Titov, André Merzky, Shantenu Jha, Geoffrey C. Fox:
Radical-Cylon: A Heterogeneous Data Pipeline for Scientific Computing. 84-102
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  - conf/jsspp/SamadiCPR24
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Mohammad Samadi, Tiago Carvalho, Luís Miguel Pinho, Sara Royuela:
Evaluation of Heuristic Task-to-Thread Mapping Using Static and Dynamic Approaches. 103-119
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Roy Nissim, Oded Schwartz, Reut Shabo:
Challenges in Parallel Matrix Chain Multiplication. 120-140
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Daiki Nakai, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
A Node Selection Method for on-Demand Job Execution with Considering Deadline Constraints. 141-160
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Sho Ishii, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
Maximizing Energy Budget Utilization Using Dynamic Power Cap Control. 161-180
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  - conf/jsspp/AngelelliCD24
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Luc Angelelli, Danilo Carastan-Santos, Pierre-François Dutot:
Run Your HPC Jobs in Eco-Mode: Revealing the Potential of User-Assisted Power Capping in Supercomputing Systems. 181-196

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