| 2025 | Job Scheduling Strategies for Parallel Processing - 27th International Workshop, JSSPP 2024, San Francisco, CA, USA, May 31, 2024, Revised Selected Papers Dalibor Klusácek, Julita Corbalán, Gonzalo P. Rodrigo |
| 2024 | A Node Selection Method for on-Demand Job Execution with Considering Deadline Constraints. Daiki Nakai, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa |
| 2024 | An Empirical Study of Machine Learning-Based Synthetic Job Trace Generation Methods. Monish Soundar Raj, Thomas MacDougall, Di Zhang, Dong Dai |
| 2024 | Challenges in Parallel Matrix Chain Multiplication. Roy Nissim, Oded Schwartz, Reut Shabo |
| 2024 | Clustering Based Job Runtime Prediction for Backfilling Using Classification. Hang Cui, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa |
| 2024 | Evaluation of Heuristic Task-to-Thread Mapping Using Static and Dynamic Approaches. Mohammad Samadi, Tiago Carvalho, Luís Miguel Pinho, Sara Royuela |
| 2024 | Launchpad: Learning to Schedule Using Offline and Online RL Methods. Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi |
| 2024 | Maximizing Energy Budget Utilization Using Dynamic Power Cap Control. Sho Ishii, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa |
| 2024 | Radical-Cylon: A Heterogeneous Data Pipeline for Scientific Computing. 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 |
| 2024 | Real-Life HPC Workload Trace Featuring Refined Job Runtime Estimates. Dalibor Klusácek, Václav Chlumský |
| 2024 | Run Your HPC Jobs in Eco-Mode: Revealing the Potential of User-Assisted Power Capping in Supercomputing Systems. Luc Angelelli, Danilo Carastan-Santos, Pierre-François Dutot |