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Job Scheduling Strategies for Parallel Processing: 26th Workshop, JSSPP 2023, St
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- ISBN-13
- 9783031439421
- Book Title
- Job Scheduling Strategies for Parallel Processing
- ISBN
- 9783031439421
- Subject Area
- Computers, Mathematics
- Publication Name
- Job Scheduling Strategies for Parallel Processing : 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers
- Item Length
- 9.3 in
- Publisher
- Springer
- Subject
- Software Development & Engineering / General, Information Theory, Intelligence (Ai) & Semantics, General
- Publication Year
- 2023
- Series
- Lecture Notes in Computer Science Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Width
- 6.1 in
- Item Weight
- 11.5 Oz
- Number of Pages
- IX, 193 Pages
關於產品
Product Information
This book constitutes the thoroughly refereed post-conference proceedings of the 26th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2023, held in St. Petersburg, FL, USA, during May 19, 2023. The 8 full papers and one keynote paper included in this book were carefully reviewed and selected from 14 submissions. The volume contains two sections: keynote and technical papers.
Product Identifiers
Publisher
Springer
ISBN-10
3031439422
ISBN-13
9783031439421
eBay Product ID (ePID)
19062269724
Product Key Features
Publication Name
Job Scheduling Strategies for Parallel Processing : 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers
Format
Trade Paperback
Language
English
Subject
Software Development & Engineering / General, Information Theory, Intelligence (Ai) & Semantics, General
Publication Year
2023
Series
Lecture Notes in Computer Science Ser.
Type
Textbook
Subject Area
Computers, Mathematics
Number of Pages
IX, 193 Pages
Dimensions
Item Length
9.3 in
Item Width
6.1 in
Item Weight
11.5 Oz
Additional Product Features
Series Volume Number
14283
Number of Volumes
1 Vol.
Lc Classification Number
Qa76.758
Table of Content
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.
Copyright Date
2023
Dewey Decimal
004.35
Dewey Edition
23
Illustrated
Yes
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