Job Scheduling Strategies for Parallel Processing

Discover cutting-edge insights in Job Scheduling Strategies for Parallel Processing by Dalibor Klusáček, published by Springer Nature Switzerland AG in 2020. This first edition, comprising 163 pages, features the thoroughly refereed post-conference proceedings of the 23rd International Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2020), held in New Orleans, LA, USA. The book includes six meticulously revised full papers, selected from eight submissions, showcasing the latest advancements and strategies in job scheduling for parallel processing. Ideal for researchers, practitioners, and students in computer science and engineering, this volume offers valuable knowledge and innovative approaches to enhance your understanding of parallel processing techniques. Dive into this essential resource to stay ahead in the dynamic field of job scheduling.