Hierarchical power distribution in large scale computing systems
Abstract
Techniques for managing power distribution amongst processors in a massively parallel computer architecture are disclosed. The techniques utilize a hierarchy that organizes the various processors of the massively parallel computer architecture. The hierarchy groups numbers of the processors at the lowest level. When processors complete tasks, the power assigned to those processors is distributed to other processors in the same group so that the performance of those processors can be increased. Hierarchical organization simplifies the calculations required for determining how and when to distribute power, because when tasks are complete and power is available for distribution, a relatively small number of processors are available for consideration to receive that power. The number of processors that are grouped together can be adjusted in real time based on performance factors to improve the trade-off between calculation speed and power distribution efficacy.
- Inventors:
- Issue Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1600411
- Patent Number(s):
- 10509452
- Application Number:
- 15/498,099
- Assignee:
- Advanced Micro Devices, Inc. (Sunnyvale, CA)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02D - CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THIR OWN ENERGY USE
- DOE Contract Number:
- 7216338; AC02-05CH11231
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 04/26/2017
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 42 ENGINEERING
Citation Formats
Chen, Xinwei, and de Paula Rosa Piga, Leonardo. Hierarchical power distribution in large scale computing systems. United States: N. p., 2019.
Web.
Chen, Xinwei, & de Paula Rosa Piga, Leonardo. Hierarchical power distribution in large scale computing systems. United States.
Chen, Xinwei, and de Paula Rosa Piga, Leonardo. Tue .
"Hierarchical power distribution in large scale computing systems". United States. https://www.osti.gov/servlets/purl/1600411.
@article{osti_1600411,
title = {Hierarchical power distribution in large scale computing systems},
author = {Chen, Xinwei and de Paula Rosa Piga, Leonardo},
abstractNote = {Techniques for managing power distribution amongst processors in a massively parallel computer architecture are disclosed. The techniques utilize a hierarchy that organizes the various processors of the massively parallel computer architecture. The hierarchy groups numbers of the processors at the lowest level. When processors complete tasks, the power assigned to those processors is distributed to other processors in the same group so that the performance of those processors can be increased. Hierarchical organization simplifies the calculations required for determining how and when to distribute power, because when tasks are complete and power is available for distribution, a relatively small number of processors are available for consideration to receive that power. The number of processors that are grouped together can be adjusted in real time based on performance factors to improve the trade-off between calculation speed and power distribution efficacy.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {12}
}
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