| 2023 | An Efficient Approach Based on Graph Neural Networks for Predicting Wait Time in Job Schedulers. Tomoe Kishimoto, Tomoaki Nakamura |
| 2023 | An Experimental Analysis of Regression-Obtained HPC Scheduling Heuristics. Lucas Rosa, Danilo Carastan-Santos, Alfredo Goldman |
| 2023 | Architecture of the Slurm Workload Manager. Morris A. Jette, Tim Wickberg |
| 2023 | Asynchronous Execution of Heterogeneous Tasks in ML-Driven HPC Workflows. Vincent R. Pascuzzi, Ozgur O. Kilic, Matteo Turilli, Shantenu Jha |
| 2023 | Evaluating the Potential of Coscheduling on High-Performance Computing Systems. Jason Hall, Arjun Lathi, David K. Lowenthal, Tapasya Patki |
| 2023 | Job Scheduling Strategies for Parallel Processing - 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers Dalibor Klusácek, Julita Corbalán, Gonzalo P. Rodrigo |
| 2023 | Memory-Aware Latency Prediction Model for Concurrent Kernels in Partitionable GPUs: Simulations and Experiments. Alessio Masola, Nicola Capodieci, Roberto Cavicchioli, Ignacio Sanudo Olmedo, Benjamin Rouxel |
| 2023 | Optimization Metrics for the Evaluation of Batch Schedulers in HPC. Robin Boëzennec, Fanny Dufossé, Guillaume Pallez |
| 2023 | Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation. Luis de la Torre, Mahantesh Halappanavar |
| 2023 | Stragglers in Distributed Matrix Multiplication. Roy Nissim, Oded Schwartz |