Title:
Thermal Field Management for Many-core Processors

dc.contributor.author Cho, Minki
dc.contributor.author Sathe, Nikhil
dc.contributor.author Yalamanchili, Sudhakar
dc.contributor.author Mukhopadhyay, Saibal
dc.contributor.corporatename Georgia Institute of Technology. Center for Experimental Research in Computer Systems
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering
dc.date.accessioned 2009-12-04T21:20:55Z
dc.date.available 2009-12-04T21:20:55Z
dc.date.issued 2009-04-10
dc.description.abstract This paper first presents an analysis of the global thermal field in many core processors in deep nanometer (to 16nm) nodes under power and thermal budget. We show that the thermal field can have significant spatiotemporal non-uniformity along with high maximum temperature. We propose spatiotemporal power multiplexing as a proactive method to reduce spatial and temporal temperature gradients. Several power multiplexing policies are evaluated for a 256 core many-core processor in 16nm nodes which demonstrate that the simple cyclic core-activation can achieve highly uniform thermal field with low maximum temperature. en
dc.identifier.uri http://hdl.handle.net/1853/31287
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries CERCS ; GIT-CERCS-09-02 en
dc.subject Core processors en
dc.subject Many-core systems en
dc.subject Non-uniformity en
dc.subject Spatiotemporal en
dc.subject Temperature gradients en
dc.subject Thermal behavior en
dc.subject Thermal field en
dc.subject Timeslice en
dc.title Thermal Field Management for Many-core Processors en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Mukhopadhyay, Saibal
local.contributor.corporatename Center for Experimental Research in Computer Systems
local.relation.ispartofseries CERCS Technical Report Series
relation.isAuthorOfPublication 62df0580-589a-4599-98af-88783123945a
relation.isOrgUnitOfPublication 1dd858c0-be27-47fd-873d-208407cf0794
relation.isSeriesOfPublication bc21f6b3-4b86-4b92-8b66-d65d59e12c54
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