2026-09-18T19:16:18Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/675572026-06-06T01:05:07Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stephen R. Connors.
Keville, Kurt (Kurt Lawrence)
System Design and Management Program.
System Design and Management Program.
Massachusetts Institute of Technology. Engineering Systems Division
2011-12-09T21:23:24Z
2011-12-09T21:23:24Z
2011
2011
http://hdl.handle.net/1721.1/67557
761395835
Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 63-65).
Green HPC is the new standard for High Performance Computing (HPC). This has now become the primary interest among HPC researchers because of a renewed emphasis on Total Cost of Ownership (TCO) and the pursuit of higher performance. Quite simply, the cost of operating modern HPC equipment can rapidly outstrip the cost of acquisition. This phenomenon is recent and can be traced to the inadequacies in modern CPU and Datacenter systems design. This thesis analyzes the problem in its entirety and describe best practice fixes to solve the problems of energy-inefficient HPC.
by Kurt Keville.
S.M. in Engineering and Management
65 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Engineering Systems Division.
System Design and Management Program.
Green HPC : a system design approach to energy-efficient datacenters
Green High Performance Computing : a system design approach to energy-efficient datacenters
System design approach to energy-efficient data centers
Thesis
application/pdf
Publication
unknown
unknown
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<Abstract>Green HPC is the new standard for High Performance Computing (HPC). This has now become the primary interest among HPC researchers because of a renewed emphasis on Total Cost of Ownership (TCO) and the pursuit of higher performance. Quite simply, the cost of operating modern HPC equipment can rapidly outstrip the cost of acquisition. This phenomenon is recent and can be traced to the inadequacies in modern CPU and Datacenter systems design. This thesis analyzes the problem in its entirety and describe best practice fixes to solve the problems of energy-inefficient HPC.</Abstract>
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