High productivity computing and usable petascale systems

Jeremy Kepner, Bob Lucas, Mootaz Elnozahy, Jim Mitchell, Steve Scott

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

High Performance Computing has seen extraordinary growth in peak performance which has been accompanied by a significant increase in the difficulty of using these systems. High Productivity Computing Systems (HPCS) seek to address this gap by producing petascale computers that are usable by a broader range of scientists and engineers. One of the most important HPCS innovations is the concept of a flatter memory hierarchy, which means that data from remote processors can be retrieved and used very efficiently. A flatter memory hierarchy increases performance and is easier to program.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06
DOIs
StatePublished - 2006
Externally publishedYes

Publication series

NameProceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06

ASJC Scopus subject areas

  • General Computer Science

Fingerprint

Dive into the research topics of 'High productivity computing and usable petascale systems'. Together they form a unique fingerprint.

Cite this