NDLI: Accurate statistical approaches for generating representative workload compositions

Content Provider	IEEE Xplore Digital Library
Author	Eeckhout, L. Sundareswara, R. Yi, J.J. Lilja, D.J. Schrater, P.
Copyright Year	2005
Description	Author affiliation: Dept. of ELIS, Ghent Univ., Belgium (Eeckhout, L.)
Abstract	Composing a representative workload is a crucial step during the design process of a microprocessor. The workload should be composed in such a way that it is representative for the target domain of application and yet, the amount of redundancy in the workload should be minimized as much as possible in order not to overly increase the total simulation time. As a result, there is an important trade-off that needs to be made between workload representativeness and simulation accuracy versus simulation speed. Previous work used statistical data analysis techniques to identify representative benchmarks and corresponding inputs, also called a subset, from a large set of potential benchmarks and inputs. These methodologies measure a number of program characteristics on which principal components analysis (PCA) is applied before identifying distinct program behaviors among the benchmarks using cluster analysis. In this paper we propose independent components analysis (ICA) as a better alternative to PCA as it does not assume that the original data set has a Gaussian distribution, which allows ICA to better find the important axes in the workload space. Our experimental results using SPEC CPU2000 benchmarks show that ICA significantly outperforms PCA in that ICA achieves smaller benchmark subsets that are more accurate than those found by PCA.
Sponsorship	IEEE Comput. Soc. Tech. Comm. on Comput. Archit
Starting Page	56
Ending Page	66
File Size	391522
Page Count	11
File Format	PDF
ISBN	0780394615
DOI	10.1109/IISWC.2005.1526001
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Independent component analysis Principal component analysis Data analysis Cities and towns Process design Microprocessors Gaussian distribution Microarchitecture Standardization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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