David A. Bader
IEEE Fellow
AAAS Fellow
Professor
College of Computing
Georgia Tech
Atlanta, GA 30332


 
 

 

Understanding the Design Trade-offs among Current Multicore Systems for Numerical Computations

In this paper, we empirically evaluate fundamental design trade-offs among the most recent multicore processors and accelerator technologies. Our primary aim is to aid application designers in better mapping their software to the most suitable architecture, with an additional goal of influencing future computing system design. We specifically examine five architectures, based on: the Intel quadcore Harpertown processor, the AMD quad-core Barcelona processor, the Sony-Toshiba-IBM Cell Broadband Engine processors (both the first-generation chip and the secondgeneration PowerXCell 8i), and the NVIDIA Tesla C1060 GPU. We illustrate the software implementation process on each platform for a set of widely-used kernels from computational statistics that are simple to reason about; measure and analyze the performance of each implementation; and discuss the impact of different architectural design choices on each implementation.

Publication History

Versions of this paper appeared as:
  1. S. Kang, D.A. Bader, and R. Vuduc, ``Understanding the Design Trade-offs among Current Multicore Systems for Numerical Computations,'' 23rd IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rome, Italy, May 25-29, 2009.

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Last updated: February 16, 2009

 




Computational Biology



Parallel Computing



Combinatorics