Works (2)
Updated: July 5th, 2023 15:55
2007 journal article
Analyzing the energy-time trade-off in high-performance computing applications
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 18(6), 835–848.
author keywords: high-performance computing; power-aware computing
TL;DR:
The results show that, for programs that have a memory or communication bottleneck, a power-scalable cluster can save significant energy with only a small time penalty, and it is possible to both consume less energy and execute in less time by increasing the number of nodes while reducing the frequency-voltage setting of each node.
(via Semantic Scholar)
open access via citeseerx.ist.psu.edu (repository)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
9. Industry, Innovation and Infrastructure
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2005 chapter
Safe overprovisioning: Using power limits to increase aggregate throughput
In T. N. V. B. Falsafi (Ed.), Power-aware computer systems: 4th International Workshop, PACS 2004, Portland, OR, USA, December 5, 2004 (Lecture notes in computer science; 3471) (Vol. 3471, pp. 150–164).
Ed(s): T. B. Falsafi
TL;DR:
Host-based and network-centric models are proposed to monitor and coordinate the distribution of power with the fundamental goal of increasing throughput and initial results with a synthetic benchmark indicate throughput increases of nearly 6% from a staticly assigned, power managed environment and over 30% from an unmanaged environment.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
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