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
:
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