Back to Results
First PageMeta Content
Monte Carlo methods / Numerical analysis / Randomness / Statistical inference / Probabilistic complexity theory / Sampling / Low-discrepancy sequence / Estimation theory / Random sample / Statistics / Probability and statistics / Mathematics


Efficient Parameter Variation Sampling for Architecture Simulations Feng Lu Russ Joseph
Add to Reading List

Document Date: 2011-03-04 16:19:11

Open Document

File Size: 433,81 KB

Share Result on Facebook

City

Austin / /

Company

on Semiconductor / Temperature-Aware Computer Systems / /

/

Facility

University of Virginia / Computer Science Northwestern University / /

IndustryTerm

e.g. floating-point applications / deep submicron technology / multi-core chips / finance / computational finance / manufacturing variation / predictive technology model / manufacturing variations / gatelevel algorithms / 32nm technology / carrier mobility / /

OperatingSystem

Linux / /

Organization

University of Virginia / National Science Foundation / Northwestern University / MC LD / Architecture Simulations Feng Lu Russ Joseph Goce Trajcevski Song Liu Department of Electrical Engineering / IEEE Computer Society / LD MR / /

Person

D. J. Lilja / C. Spanos / R. Sendag / Y. Cao / P. Friedberg / W. Zhao / J. Rabaey / J. J. Yi / J. Cain / D. M. Hawkins / R. Wang / Russ Joseph Goce Trajcevski Song Liu / /

/

Position

detailed simulator model / or subset the benchmark suite / Cao / /

ProgrammingLanguage

FP / /

ProvinceOrState

Virginia / /

PublishedMedium

Pacific Journal of Mathematics / /

Technology

Alpha / Linux / existing gatelevel algorithms / 21264 processor / 32nm technology / deep submicron technology / simulation / /

SocialTag