Job Scheduling Strategies for Parallel Processing 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers
by
 
Klusáček, Dalibor. editor.

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 Author
Klusáček, Dalibor.
 
Corbalán, Julita.
 
Rodrigo, Gonzalo P.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-43943-8


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book521143-1001ONLINEElektronik Kütüphane