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ORCID28th JSSPP 2025: Milan, Italy
- Dalibor Klusácek
, Julita Corbalán, Gonzalo P. Rodrigo:
Job Scheduling Strategies for Parallel Processing - 28th International Workshop, JSSPP 2025, Milan, Italy, June 3-4, 2025, Revised Selected Papers. Lecture Notes in Computer Science 16210, Springer 2026, ISBN 978-3-032-10506-6 - Abrar Hossain, Abubeker Abdurahman, Mohammad A. Islam, Kishwar Ahmed:
Power-Aware Scheduling for Multi-center HPC Electricity Cost Optimization. 1-20 - Beste Oztop, Benjamin Schwaller, Vitus J. Leung, Jim M. Brandt, Brian Kulis, Manuel Egele, Ayse K. Coskun:
Job Grouping Based Intelligent Resource Prediction Framework. 21-40 - Viktória Spisaková, Radostin Stoyanov, Lukás Hejtmánek, Dalibor Klusácek, Adrian Reber, Rodrigo Bruno:
Kubernetes Scheduling with Checkpoint/Restore: Challenges and Open Problems. 41-62 - Abdessalam Benhari, Denis Trystram:
Adaptive Carbon-Aware Scheduling Policies for HPC Systems. 63-81 - Maxime Martinasso, Thomas C. Schulthess:
Resource Elasticity for Scientific Platforms on HPC Infrastructure. 82-101 - Zhong Zheng, Michael E. Papka, Zhiling Lan:
More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing. 102-122 - Kaito Yanai, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
Workflow Batch Job Scheduling with Considering Task Dependencies. 123-144 - Sajad Khosravi, Sebastian Litzinger, Christoph W. Kessler, Jörg Keller:
Quality-Aware Energy-Efficient Scheduling of Moldable-Parallel Streaming Computations on Heterogeneous Multicore CPUs with DVFS. 145-165 - Ezgi Nur Alisan, Ismail Akturk:
Optimizing Energy Efficiency in Heterogeneous Computing via Multi-objective Scheduling with Reinforcement Learning. 166-186 - Julita Corbalán, Lluis Alonso, Luigi Brochard, Jordi Aneas, Oriol Vidal:
Static Powercap vs. EAR Hard-Powercap: Performance Evaluation. 187-204 - Arup Kumar Sarker, Aymen Alsaadi, Alexander James Halpern, Prabhath Tangella, Mikhail Titov, Niranda Perera, Mills Staylor, Gregor von Laszewski, Shantenu Jha, Geoffrey C. Fox:
Deep RC: A Scalable Data Engineering and Deep Learning Pipeline. 205-223 - Suhas Gowda Harish, Shresht Veeraswamy Gunashekar, Sparsh Balnad kattemane, Meghana Thiyyakat, Prafullata K. Auradkar:
Fedsort: An Optimized Federated Scheduling Strategy for Cloud Workloads with Inter-task Dependencies. 224-242 - Jared Ray Coleman, Ravi Vivek Agrawal, Ebrahim Hirani, Bhaskar Krishnamachari:
Evaluating the Impact of Algorithmic Components on Task Graph Scheduling. 243-262 - Gagandeep Mangat, Preeti Malakar:
Communication-Balanced Job Allocation Using SLURM. 263-283 - Athanasios Tsoukleidis-Karydakis, Efstratios Karapanagiotis, Nikolaos Triantafyllis, Nectarios Koziris, Georgios I. Goumas:
Performance Models to Support HPC Co-scheduling. 284-305 - Efstratios Karapanagiotis, Nikolaos Triantafyllis, Athanasios Tsoukleidis-Karydakis, Georgios I. Goumas, Nectarios Koziris:
ELiSE: A Tool to Support Algorithmic Design for HPC Co-scheduling. 306-326 - Mohamed Noaman, Srishti Dasgupta, Michael Gerndt:
Deadline Miss Minimization Scheduling for License-Constrained CAE Jobs in Hybrid Cloud Infrastructure. 327-347
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