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Job Scheduling Strategies for Parallel Processing [[electronic resource] ] : 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers / / edited by Dalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo
Job Scheduling Strategies for Parallel Processing [[electronic resource] ] : 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers / / edited by Dalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (200 pages)
Disciplina 004.35
Collana Lecture Notes in Computer Science
Soggetto topico 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
ISBN 3-031-43943-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996550557603316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Job Scheduling Strategies for Parallel Processing : 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers / / edited by Dalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo
Job Scheduling Strategies for Parallel Processing : 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers / / edited by Dalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (200 pages)
Disciplina 004.35
Collana Lecture Notes in Computer Science
Soggetto topico 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
ISBN 3-031-43943-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910746090903321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui