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26th JSSPP 2023: St. Petersburg, FL, USA

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Dalibor Klusácek, Julita Corbalán, Gonzalo P. Rodrigo:
Job Scheduling Strategies for Parallel Processing - 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14283, Springer 2023, ISBN 978-3-031-43942-1

Keynote

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Morris A. Jette, Tim Wickberg:
Architecture of the Slurm Workload Manager. 3-23

Technical Papers

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Vincent R. Pascuzzi, Ozgur O. Kilic, Matteo Turilli, Shantenu Jha:
Asynchronous Execution of Heterogeneous Tasks in ML-Driven HPC Workflows. 27-45
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Alessio Masola, Nicola Capodieci, Roberto Cavicchioli, Ignacio Sanudo Olmedo, Benjamin Rouxel:
Memory-Aware Latency Prediction Model for Concurrent Kernels in Partitionable GPUs: Simulations and Experiments. 46-73
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Roy Nissim, Oded Schwartz:
Stragglers in Distributed Matrix Multiplication. 74-96
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Robin Boëzennec, Fanny Dufossé, Guillaume Pallez:
Optimization Metrics for the Evaluation of Batch Schedulers in HPC. 97-115
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Lucas Rosa, Danilo Carastan-Santos, Alfredo Goldman:
An Experimental Analysis of Regression-Obtained HPC Scheduling Heuristics. 116-136
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Tomoe Kishimoto, Tomoaki Nakamura:
An Efficient Approach Based on Graph Neural Networks for Predicting Wait Time in Job Schedulers. 137-154
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Jason Hall, Arjun Lathi, David K. Lowenthal, Tapasya Patki:
Evaluating the Potential of Coscheduling on High-Performance Computing Systems. 155-172
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Luis de la Torre, Mahantesh Halappanavar:
Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation. 173-192

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