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Title:
Job Scheduling Strategies for Parallel Processing 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers
Author:
Klusáček, Dalibor. editor.
ISBN:
9783031439438
Edition:
1st ed. 2023.
Physical Description:
IX, 193 p. 66 illus., 57 illus. in color. online resource.
Series:
Lecture Notes in Computer Science, 14283
Contents:
Architecture of the Slurm Workload Manager -- Asynchronous Execution of Heterogeneous Tasks in ML-driven HPC Workflows -- Memory-Aware Latency Prediction Model for Concurrent Kernels in Partitionable GPUs: Simulations and Experiments -- Stragglers in Distributed Matrix Multiplication -- Optimization Metrics for the Evaluation of Batch Schedulers in HPC -- An experimental analysis of regression-obtained HPC scheduling heuristics -- An efficient approach based on graph neural networks for predicting wait time in job schedulers -- Evaluating the Potential of Coscheduling on High-Performance Computing Systems -- Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation.
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-3-031-43943-8Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
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Searching... | E-Book | 521143-1001 | XX(521143.1) | Searching... | Searching... |