ISBN: 9783030145675 - fair scheduling in high performance computing environments (16 risultati)

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Condizione: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.

Hardcover. Condizione: Brand New. 146 pages. 9.25x6.10x0.55 inches. In Stock.

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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces a new scheduler to fairly and efficiently distribute system resources to many users of varying usage patterns compete for them in large shared computing environments. The Rawlsian Fair scheduler developed for this effort is shown to boost performance while reducing delay in high performance computing workloads of certain types including the following four types examined in this book:i. Class A - similar but complementary workloadsii. Class B - similar but steady vs intermittent workloadsiii. Class C - Large vs small workloadsiv. Class D - Large vs noise-like workloadsThis new scheduler achieves short-term fairness for small timescale demanding rapid response to varying workloads and usage profiles. Rawlsian Fair scheduler is shown to consistently benefit workload Classes C and D while it only benefits Classes A and B workloads where they become disproportionate as the number of users increases.A simulation framework, dSim, simulates the new Rawlsian Fair scheduling mechanism. The dSim helps achieve instantaneous fairness in High Performance Computing environments, effective utilization of computing resources, and user satisfaction through the Rawlsian Fair scheduler. 144 pp. Englisch.…

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. With the prevalence of shared computing environments (cloud for example), how a shared resource (such as a computer/CPU/Core) is distributed and time-shared across many users will be critically important.Current methods and algorithms used to divide .…

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces a new scheduler to fairly and efficiently distribute system resources to many users of varying usage patterns compete for them in large shared computing environments. The Rawlsian Fair scheduler developed for this effort is shown to boost performance while reducing delay in high performance computing workloads of certain types including the following four types examined in this book:i. Class A - similar but complementary workloadsii. Class B - similar but steady vs intermittent workloadsiii. Class C - Large vs small workloadsiv. Class D - Large vs noise-like workloadsThis new scheduler achieves short-term fairness for small timescale demanding rapid response to varying workloads and usage profiles. Rawlsian Fair scheduler is shown to consistently benefit workload Classes C and D while it only benefits Classes A and B workloads where they become disproportionate as the number of users increases.A simulation framework, dSim, simulates the new Rawlsian Fair scheduling mechanism. The dSim helps achieve instantaneous fairness in High Performance Computing environments, effective utilization of computing resources, and user satisfaction through the Rawlsian Fair scheduler.…

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces a new scheduler to fairly and efficiently distribute system resources to many users of varying usage patterns compete for them in large shared computing environments. The Rawlsian Fair scheduler developed for this effort is shown to boost performance while reducing delay in high performance computing workloads of certain types including the following four types examined in this book:i. Class A ¿ similar but complementary workloadsii. Class B ¿ similar but steady vs intermittent workloadsiii. Class C ¿ Large vs small workloadsiv. Class D ¿ Large vs noise-like workloadsThis new scheduler achieves short-term fairness for small timescale demanding rapid response to varying workloads and usage profiles. Rawlsian Fair scheduler is shown to consistently benefit workload Classes C and D while it only benefits Classes A and B workloads where they become disproportionate as the number of users increases.A simulation framework, dSim, simulates the new Rawlsian Fair scheduling mechanism. The dSim helps achieve instantaneous fairness in High Performance Computing environments, effective utilization of computing resources, and user satisfaction through the Rawlsian Fair scheduler.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 144 pp. Englisch.…

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