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Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

Subramoniapillai Ajeetha, Saktheesh
http://rave.ohiolink.edu/etdc/view?acc_num=osu1344623484

Abstract Details

2012, Master of Science, Ohio State University, Computer Science and Engineering.
Emergence of new Graphical Processors for general purpose computing presents new challenges for application developers. Graphical Processors vary in terms of number of processor cores per chip, processor speed and memory subsystems. NVIDIA’s CUDA provides a C-like abstraction layer for software developers to implement their applications on GPUs often with little knowledge of the underlying hardware and they are forced to work with high-level descriptions documented by the manufacturer. Substantial knowledge of the hardware architecture will be useful for harvesting the full potential of GPU architectures while trying to solve complex parallel programming problems. This work reports the measurements and characterization of performance of several NVIDIA GPU’s using micro benchmark analysis. Our thesis uses and adapts the CUDA Micro-benchmarks [8] and SHOC benchmarks [9] to characterize the important aspects of NVIDIA’s GTX200 series GPU- architecture machine (GTX280) and Fermi series - architecture machines (GTX580, Tesla C2050). The investigation is conducted by performing a micro architectural analysis of these machines and comparing their basic performance parameters. This thesis presents an experiment based methodology for characterizing the properties of the arithmetic pipelines. We also measure the global and shared memory latency and bandwidth of these machines and validate the hardware characteristics presented in CUDA programming guide. We hope that the insights from this work will be useful for improving the analysis and performance optimization of CUDA programs.
Dr.Sadayappan P, PhD (Advisor)
Dr.Rajiv Ramnath, PhD (Advisor)
47 p.
Computer Science
NVIDIA; CUDA; Fermi; GT200

Recommended Citations

Citations

  • Subramoniapillai Ajeetha, S. (2012). Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1344623484

    APA Style (7th edition)

  • Subramoniapillai Ajeetha, Saktheesh. Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking. 2012. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1344623484.

    MLA Style (8th edition)

  • Subramoniapillai Ajeetha, Saktheesh. "Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking." Master's thesis, Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1344623484

    Chicago Manual of Style (17th edition)

osu1344623484
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© 2012, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.