Job Scheduling Strategies for Parallel Processing
portes grátis
Job Scheduling Strategies for Parallel Processing
24th International Workshop, JSSPP 2021, Virtual Event, May 21, 2021, Revised Selected Papers
Cirne, Walfredo; Klusacek, Dalibor; Rodrigo, Gonzalo P.
Springer Nature Switzerland AG
10/2021
231
Mole
Inglês
9783030882235
15 a 20 dias
379
Descrição não disponível.
Keynote.- ?Resampling with Feedback: A New Paradigm of Using Workload Data for Performance Evaluation.- Open Scheduling Problems and Proposals.- Collection of Job Scheduling Prediction Methods.- Modular Workload Format: extending SWF for modular systems.- Technical Papers.- Measurement and Modeling of Performance of HPC Applications towards Overcommitting Scheduling Systems.- Scheduling Microservice Containers on Large Core Machines through Placement and Coalescing.- Learning-based Approaches to Estimate Job Wait Time in HTC Datacenters.- A HPC Co-Scheduler with Reinforcement Learning.- Performance-Cost Optimization of Moldable Scientific Workflows.- Temperature-Aware Energy-Optimal Scheduling of Moldable Streaming Tasks onto 2D-Mesh-Based Many-Core CPUs with DVFS.- Scheduling Challenges for Variable Capacity Resources.- GLUME: A Strategy for Reducing Workflow Execution Times on Batch-Scheduled Platforms.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;cloud computing;computer hardware;computer networks;computer programming;computer science;computer systems;computing resource;distributed computer systems;distributed systems;engineering;grid computing;internet;job scheduling;machine learning;microprocessor chips;network protocols;parallel architectures;parallel processing systems;processors
Keynote.- ?Resampling with Feedback: A New Paradigm of Using Workload Data for Performance Evaluation.- Open Scheduling Problems and Proposals.- Collection of Job Scheduling Prediction Methods.- Modular Workload Format: extending SWF for modular systems.- Technical Papers.- Measurement and Modeling of Performance of HPC Applications towards Overcommitting Scheduling Systems.- Scheduling Microservice Containers on Large Core Machines through Placement and Coalescing.- Learning-based Approaches to Estimate Job Wait Time in HTC Datacenters.- A HPC Co-Scheduler with Reinforcement Learning.- Performance-Cost Optimization of Moldable Scientific Workflows.- Temperature-Aware Energy-Optimal Scheduling of Moldable Streaming Tasks onto 2D-Mesh-Based Many-Core CPUs with DVFS.- Scheduling Challenges for Variable Capacity Resources.- GLUME: A Strategy for Reducing Workflow Execution Times on Batch-Scheduled Platforms.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;cloud computing;computer hardware;computer networks;computer programming;computer science;computer systems;computing resource;distributed computer systems;distributed systems;engineering;grid computing;internet;job scheduling;machine learning;microprocessor chips;network protocols;parallel architectures;parallel processing systems;processors
