EcoG: A power-efficient GPU cluster architecture for scientific computing

Mike Showerman; Jeremy James Enos; Craig Philip Steffen; Sean Treichler; William D Gropp; Wen-Mei W Hwu

doi:10.1109/MCSE.2011.30

EcoG: A power-efficient GPU cluster architecture for scientific computing

Mike Showerman, Jeremy James Enos, Craig Philip Steffen, Sean Treichler, William D Gropp, Wen-Mei W Hwu

Research output: Contribution to journal › Article

Abstract

Researchers built the EcoG GPU-based cluster to show that a system can be designed around GPU computing and still be power efficient.

Original language	English (US)
Article number	5725240
Pages (from-to)	83-87
Number of pages	5
Journal	Computing in Science and Engineering
Volume	13
Issue number	2
DOIs	https://doi.org/10.1109/MCSE.2011.30
State	Published - Mar 1 2011

Keywords

CUDA
GPUs
Graphics processing
Nvidia
scientific computing

ASJC Scopus subject areas

Computer Science(all)
Engineering(all)

Access to Document

10.1109/MCSE.2011.30

Fingerprint Dive into the research topics of 'EcoG: A power-efficient GPU cluster architecture for scientific computing'. Together they form a unique fingerprint.

Cite this

Showerman, M., Enos, J. J., Steffen, C. P., Treichler, S., Gropp, W. D., & Hwu, W-M. W. (2011). EcoG: A power-efficient GPU cluster architecture for scientific computing. Computing in Science and Engineering, 13(2), 83-87. [5725240]. https://doi.org/10.1109/MCSE.2011.30

@article{0a2ae6898cb34bfa98701dbab517bd27,

title = "EcoG: A power-efficient GPU cluster architecture for scientific computing",

abstract = "Researchers built the EcoG GPU-based cluster to show that a system can be designed around GPU computing and still be power efficient.",

keywords = "CUDA, GPUs, Graphics processing, Nvidia, scientific computing",

author = "Mike Showerman and Enos, {Jeremy James} and Steffen, {Craig Philip} and Sean Treichler and Gropp, {William D} and Hwu, {Wen-Mei W}",

year = "2011",

month = mar,

day = "1",

doi = "10.1109/MCSE.2011.30",

language = "English (US)",

volume = "13",

pages = "83--87",

journal = "Computing in Science and Engineering",

issn = "1521-9615",

publisher = "IEEE Computer Society",

number = "2",

}

TY - JOUR

T1 - EcoG

T2 - A power-efficient GPU cluster architecture for scientific computing

AU - Showerman, Mike

AU - Enos, Jeremy James

AU - Steffen, Craig Philip

AU - Treichler, Sean

AU - Gropp, William D

AU - Hwu, Wen-Mei W

PY - 2011/3/1

Y1 - 2011/3/1

N2 - Researchers built the EcoG GPU-based cluster to show that a system can be designed around GPU computing and still be power efficient.

AB - Researchers built the EcoG GPU-based cluster to show that a system can be designed around GPU computing and still be power efficient.

KW - CUDA

KW - GPUs

KW - Graphics processing

KW - Nvidia

KW - scientific computing

UR - http://www.scopus.com/inward/record.url?scp=79952588250&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79952588250&partnerID=8YFLogxK

U2 - 10.1109/MCSE.2011.30

DO - 10.1109/MCSE.2011.30

M3 - Article

AN - SCOPUS:79952588250

VL - 13

SP - 83

EP - 87

JO - Computing in Science and Engineering

JF - Computing in Science and Engineering

SN - 1521-9615

IS - 2

M1 - 5725240

ER -