Abstract
As modern computing clusters used in scientific computing applications scale to ever-larger sizes and capabilities, their operational energy costs have become prohibitive. While it is an emerging trend in modern cluster design to optimize for low energy consumption in the individual computational nodes, little attention has been paid to reducing the energy used by the communication network that connects the nodes. In this work, we consider a 3-D torus network similar to the one in BlueGene/L to explore opporunities for link shutdown during collective communication operations. For example, we demonstrate that in the case of all-to-one reduce codes, approximately 99% of the total network link time can be spent in a shutoff state on a 64-node toroidal network, thus reducing the overall system energy by approximately 15-28%
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM |
| DOIs | |
| State | Published - 2007 |
| Event | 21st International Parallel and Distributed Processing Symposium, IPDPS 2007 - Long Beach, CA, United States Duration: Mar 26 2007 → Mar 30 2007 |
Publication series
| Name | Proceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM |
|---|
Other
| Other | 21st International Parallel and Distributed Processing Symposium, IPDPS 2007 |
|---|---|
| Country/Territory | United States |
| City | Long Beach, CA |
| Period | 3/26/07 → 3/30/07 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Software
- General Mathematics
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