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Software Performance Estimation Techniques in a Co-Design Environment

Subramanian, Sriram
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1061553201

Abstract Details

2003, MS, University of Cincinnati, Engineering : Computer Engineering.
Cadence’s Virtual Component Co-design (VCC), first of its kind, provides a frame work for hardware-software co-design exploration. Since design trade-offs largely depend on the ability to accurately and quickly estimate the design constraint of interest, better estimation techniques are always sought after. Software estimation techniques vary from fastest, but least accurate (Static Estimation) to slowest, but most accurate (Cosimulation). We investigated the applicability of two most important techniques, namely Virtual Processor Model (VPM) (also known as annotated_c technique) and Cosimulation with an Instruction Set Simulator (CSISS) to VCC’s environment. We focused on evaluating CSISS against performance and time taken. Representative benchmark routines were chosen based on the execution profiles of the MiBench benchmarks and implemented in VCC specific C language called White Box C. Results were compared with timing estimates obtained using MIPS R10000 perfex profiling counters. We observed that the CSISS based estimation technique is more accurate with an average absolute error of 19.38% and the annotated_c technique had an average absolute error of 58.3%. The CSISS technique was slower by 2.56 times on an average.
Dr. Karen Tomko (Advisor)
56 p.
Computer Science
software performance estimation; VCC; SPIM; MiBench; hardware-software-codesign

Recommended Citations

Citations

  • Subramanian, S. (2003). Software Performance Estimation Techniques in a Co-Design Environment [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1061553201

    APA Style (7th edition)

  • Subramanian, Sriram. Software Performance Estimation Techniques in a Co-Design Environment. 2003. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1061553201.

    MLA Style (8th edition)

  • Subramanian, Sriram. "Software Performance Estimation Techniques in a Co-Design Environment." Master's thesis, University of Cincinnati, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1061553201

    Chicago Manual of Style (17th edition)

ucin1061553201
631
© 2003, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.