Back to Results
First PageMeta Content
Computer hardware / Graphics hardware / GPGPU / Video cards / Computer architecture / CUDA / Multi-core processor / Monte Carlo method / Thread / Computing / Concurrent computing / Parallel computing


Document Date: 2010-04-01 20:01:24

Open Document

File Size: 92,79 KB

Share Result on Facebook

City

Pittsburgh / /

Company

Oxford University Press / World Scientific / The MIT Press / Neural Information Processing Systems / Canbridge University Press / NVIDIA / CPU / Hertz / Intel / CRC Press / John Wiley & Sons / Neil G. Dickson Firas Hamze D-Wave Systems Inc. / /

Country

United States / /

/

Facility

University of California at Berkeley / /

IndustryTerm

performance computing / volunteer computing environment / serial algorithm / parallel algorithms / data processing / streaming processor / unpredictable computing resources / Insufficient computing power / parallel algorithm / computing / streaming processors / distributed volunteer computing context / Volunteer computing / physical systems / minimum energy gap / /

NaturalFeature

#define MT / /

OperatingSystem

Mac OS / Windows XP / /

Organization

University of California / Physical Society of Japan / MIT / Oxford University / GPU MP / /

Person

Geordie Rose / Morgan Kaufmann / /

Position

MP / /

Product

Mersenne-Twister / /

ProvinceOrState

California / /

PublishedMedium

Journal of the Physical Society of Japan / Machine Learning / Physical Review Letters / /

Technology

parallel algorithms / GPU streaming processors / PTMC algorithm / Mersenne-Twister algorithm / serial algorithm / two technologies / GPU processor / Machine Learning / streaming processors / simulation / Parallel Tempering Monte Carlo algorithm / Shared Memory / Xeon processors / Metropolis algorithm / one streaming processor / /

URL

http /

SocialTag