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

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

Yazar
Klusáček, Dalibor. editor.

ISBN
9783031439438

Basım Bilgisi
1st ed. 2023.

Fiziksel Tanımlama
IX, 193 p. 66 illus., 57 illus. in color. online resource.

Seri
Lecture Notes in Computer Science, 14283

İçerik
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.

Yazar Ek Girişi
Klusáček, Dalibor.
 
Corbalán, Julita.
 
Rodrigo, Gonzalo P.

Tüzel Kişi Ek Girişi
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-031-43943-8


KütüphaneMateryal TürüDemirbaş NumarasıYer Numarası[[missing key: search.ChildField.HOLDING]]Durumu/İade Tarihi
Çevrimiçi KütüphaneE-Kitap521143-1001ONLINEElektronik Kütüphane