sas performance on sparc t4 + solaris: customer experience performance study from the u.s. bureau of...

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SAS Performance on SPARC T4 + Solaris: Customer experience performance study from the U.S. Bureau of Labor Statistics Edmond Cheng, Economist, Bureau of Labor Statistics Steven Holmes, UNIX Systems Administrator, G&B Solutions

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SAS Performance on SPARC T4 + Solaris: Customer experience performance study from the U.S. Bureau of Labor Statistics

Edmond Cheng, Economist, Bureau of Labor StatisticsSteven Holmes, UNIX Systems Administrator, G&B Solutions

Bureau of Labor Statistics

Industry Employment

Operation and Business ProcessSurvey Frame

& Sample Design Questionnaire

Design & Testing

Data Collection &

Cycle Management

Data Processing & Validation /

Micro Editing

Estimation, Data

Tabulation & Macro Editing

Macro modeling, seasonal

adjustment

Data Dissemination /

Publication

SAS Solutions and Others

SAS Base 9.2

SAS AppDev Studio

SAS/ACCESS

SAS/Connect

SAS/ETS

SAS/Graph

SAS/IML

SAS/IntrNet

SAS/Share

SAS/STAT

SAS® Business Intelligence

SAS Enterprise Guide 4.3

SAS Enterprise Guide BI Server

Data Integration Server

Metadata Server

Microsoft Office IntegrationOthers

Oracle Servers

SPARC T4-2 SERVER Processor• Eight-core 2.85GHz SPARC T4 processor • Two processors per system, maximum 128

threads • Eight floating-point units • Dual multithreaded 10 GbE PCI integrated

onto chip

Performance Test Servers BaselinesServer Model Linux Lab Linux HP

BladeSun FireT5240

SPARC Enterprise M3000

SPARC T4-2

Operating System

Red Hat Enterprise Linux Server release 6.3 (Santiago)

Red Hat Enterprise Linux Server release 6.3 (Santiago)

Solaris 10 Solaris 10 Solaris 10

Processor Intel Xeon E5430 CPU

Intel Xeon X5550

UltraSPARC T2+

SPARC64 VII

SPARC T4

Specs 2 CPU, 2.66Ghz, quad core

2 CPU, 2.66Ghz, quad core

2 CPUs, 1.2 GHz, 6-core

1 CPU, 2.75 GHz, quad-core

2 CPU 2.85 GHz, 8-core

Thread 8 8 96 8 128Ram 14GB 16GB 16GB 32GB 128GBSAS Version 9.2 9.2 9.1.3 9.2 9.3

SAS DATA and PROC Steps

Single-Threading Processing

Multi-Theading Processing

PROC IML Statistical Modeling

Contacts

Edmond Cheng

U.S. Bureau of Labor Statistics2 Massachusetts Avenue, NEWashington, DC [email protected]

Steven Holmes

U.S. Bureau of Labor Statistics2 Massachusetts Avenue, NEWashington, DC [email protected][email protected]

Any opinions expressed in this paper are those of the author and do not constitute policy of the Bureau of Labor Statistics.