Energy and power aware job scheduling and resource management: An In-Depth Analysis

This paper presents a detailed analysis of a first-of-kind global survey of high-performance computing centers that actively employ techniques within job scheduling and resource management middleware layers for managing energy and power on production supercomputers. Our group conducted a series of comprehensive interviews of leading-edge supercomputing centers during 2016 and 2017. The group presented the motivation of the survey center selection, questionnaire details, and a preliminary analysis of the survey results in a previous publication. This paper presents a more detailed analysis of the survey results. The goal is to find commonalities, approaches that are to be developed and hints and guidelines for other centers to move towards a more energy efficient and power aware management of their compute resources.

Koenig, Gregory A.; Maiterth, Matthias; Jana, Siddhartha; Bates, Natalie; Pedretti, Kevin; Puzovic, Milos; Borghesi, Andrea; Bartolini, Andrea; Montoya, Dave

Technologies
IT Equipment
Focus areas
High Performance Computing (HPC)