Job Scheduling Strategies for Parallel Processing 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers / [electronic resource] :
edited by Dalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo.
- 1st ed. 2023.
- IX, 193 p. 66 illus., 57 illus. in color. online resource.
- Lecture Notes in Computer Science, 14283 1611-3349 ; .
- Lecture Notes in Computer Science, 14283 .
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.
9783031439438
10.1007/978-3-031-43943-8 doi
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.
QA76.758
005.1
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.
9783031439438
10.1007/978-3-031-43943-8 doi
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.
QA76.758
005.1