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
:
| Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
|---|
| Online Library | E-Book | 521143-1001 | ONLINE | | Elektronik Kütüphane |