Job Scheduling Strategies for Parallel Processing [electronic resource] : 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers /
Material type: TextSeries: Lecture Notes in Computer Science ; 14283Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: IX, 193 p. 66 illus., 57 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9783031439438
- Software engineering
- Artificial intelligence
- Coding theory
- Information theory
- Microprogramming
- Computer input-output equipment
- Logic design
- Software Engineering
- Artificial Intelligence
- Coding and Information Theory
- Control Structures and Microprogramming
- Input/Output and Data Communications
- Logic Design
- 005.1 23
- QA76.758
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.
This book constitutes the thoroughly refereed post-conference proceedings of the 26th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2023, held in St. Petersburg, FL, USA, during May 19, 2023. The 8 full papers and one keynote paper included in this book were carefully reviewed and selected from 14 submissions. The volume contains two sections: keynote and technical papers.
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