Physical implementation workload efficiency improvement

EDA workloads on both cloud and on-premises require an understanding of the jobs on the host for the best turnaround time and cost efficiency. A lot of EDA jobs are launched with over demanded compute resources than necessary. They often fail if launched with resources less than what is required, th...

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Bibliographic Details
Main Author: Hasan, Tarique
Other Authors: Matemaattis-luonnontieteellinen tiedekunta, Faculty of Sciences, Fysiikan laitos, Department of Physics, Jyväskylän yliopisto, University of Jyväskylä
Format: Master's thesis
Language:eng
Published: 2024
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/97355