Title
A generic platform for estimation of multi-threaded program performance on heterogeneous multiprocessors
Abstract
This paper deals with a methodology for software estimation to enable design space exploration of heterogeneous multiprocessor systems. Starting from fork-join representation of application specification along with high level description of multiprocessor target architecture and mapping of application components onto architecture resource elements, it estimates the performance of application on target multiprocessor architecture. The methodology proposed includes the effect of basic compiler optimizations, integrates light weight memory simulation and instruction mapping for complex instruction to improve the accuracy of software estimation. To estimate performance degradation due to contention for shared resources like memory and bus, synthetic access traces coupled with interval analysis technique is employed. The methodology has been validated on a real heterogeneous platform. Results show that using estimation it is possible to predict performance with average errors of around 11%.
Year
DOI
Venue
2009
10.1109/DATE.2009.5090813
DATE
Keywords
Field
DocType
complex instruction,application specification,software estimation,performance degradation,heterogeneous multiprocessors,multiprocessor target architecture,heterogeneous multiprocessor system,architecture resource element,application component,multi-threaded program performance,generic platform,target multiprocessor architecture,instruction mapping,computer science,estimation,space technology,application software,synchronization,interval analysis,vhdl,simulation,space exploration,digital signal processing,computer architecture,vlsi,hardware description language,software performance,compiler optimization
Computer architecture,Computer science,Parallel computing,Symmetric multiprocessor system,Real-time computing,Optimizing compiler,Software performance testing,Multiprocessing,Software,Application software,Design space exploration,Hardware description language
Conference
ISSN
Citations 
PageRank 
1530-1591
6
0.55
References 
Authors
11
3
Name
Order
Citations
PageRank
Aryabartta Sahu162.24
M. Balakrishnan251872.63
Preeti Ranjan Panda378689.40