TY  - BOOK
AU  - Klusáček,Dalibor
AU  - Corbalán,Julita
AU  - Rodrigo,Gonzalo P.
TI  - Job Scheduling Strategies for Parallel Processing: 26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised Selected Papers 
T2  - Lecture Notes in Computer Science,
SN  - 9783031439438
U1  - 005.1 23
PY  - 2023///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Software engineering
KW  - Artificial intelligence
KW  - Coding theory
KW  - Information theory
KW  - Microprogramming 
KW  - Computer input-output equipment
KW  - Logic design
KW  - Software Engineering
KW  - Artificial Intelligence
KW  - Coding and Information Theory
KW  - Control Structures and Microprogramming
KW  - Input/Output and Data Communications
KW  - Logic Design
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-031-43943-8
ER  -