Parallel Programming Environment: A Key to Translating Tera-Scale Platforms into a Big Success

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International Symposium on Code Generation and Optimization (CGO'07)

Parallel Programming Environment: A Key to Translating Tera-Scale Platforms into a Big Success (PDF)

San Jose, California

March 11-March 14

ISBN: 0-7695-2764-7

	ASCII Text	x
	Jesse Fang, "Parallel Programming Environment: A Key to Translating Tera-Scale Platforms into a Big Success," Code Generation and Optimization, IEEE/ACM International Symposium on, pp. 18, International Symposium on Code Generation and Optimization (CGO'07), 2007.

	BibTex	x
	@article{ 10.1109/CGO.2007.28, author = {Jesse Fang}, title = {Parallel Programming Environment: A Key to Translating Tera-Scale Platforms into a Big Success}, journal ={Code Generation and Optimization, IEEE/ACM International Symposium on}, volume = {0}, year = {2007}, isbn = {0-7695-2764-7}, pages = {18}, doi = {http://doi.ieeecomputersociety.org/10.1109/CGO.2007.28}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Code Generation and Optimization, IEEE/ACM International Symposium on TI - Parallel Programming Environment: A Key to Translating Tera-Scale Platforms into a Big Success SN - 0-7695-2764-7 SP EP A1 - Jesse Fang, PY - 2007 KW - null VL - 0 JA - Code Generation and Optimization, IEEE/ACM International Symposium on ER -

Jesse Fang, Intel, Director of Programming Systems Lab

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGO.2007.28

Moore?s Law will continue to increase the number of transistors on die for a couple of decades, as silicon technology moves from 65nm today to 45nm, 32 nm and 22nm in the future. Since the power and thermal constraints increase with frequency, multi-core or many-core will be the way of the future microprocessor.

Citation:

Jesse Fang, "Parallel Programming Environment: A Key to Translating Tera-Scale Platforms into a Big Success," cgo, pp.18, International Symposium on Code Generation and Optimization (CGO'07), 2007

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