DEGAS: Dynamic Exascale Global Address Space Programming Environments

Technical Report · Fri Feb 23 04:00:00 EST 2018

DOI:https://doi.org/10.2172/1423458· OSTI ID:1423458

Demmel, James ^[1]

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1. Univ. of California, Berkeley, CA (United States); University of California, Berkeley

The Dynamic, Exascale Global Address Space programming environment (DEGAS) project will develop the next generation of programming models and runtime systems to meet the challenges of Exascale computing. The Berkeley part of the project concentrated on communication-optimal code generation to optimize speed and energy efficiency by reducing data movement. Our work developed communication lower bounds, and/or communication avoiding algorithms (that either meet the lower bound, or do much less communication than their conventional counterparts) for a variety of algorithms, including linear algebra, machine learning and genomics. The Berkeley part of the project concentrated on communication-optimal code generation to optimize speed and energy efficiency by reducing data movement. Our work developed communication lower bounds, and/or communication avoiding algorithms (that either meet the lower bound, or do much less communication than their conventional counterparts) for a variety of algorithms, including linear algebra, machine learning and genomics.

• Research Organization: Univ. of California, Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
• DOE Contract Number: SC0008700
• OSTI ID: 1423458
• Report Number(s): DOE-UCB--08700
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING