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2009 IEEE International Symposium on Parallel&Distributed Processing
Understanding the design trade-offs among current multicore systems for numerical computations
Rome, Italy
May 23-May 29
ISBN: 978-1-4244-3751-1
ASCII Text
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Seunghwa Kang, David A. Bader, Richard Vuduc, "Understanding the design trade-offs among current multicore systems for numerical computations," Parallel and Distributed Processing Symposium, International, pp. 1-12, 2009 IEEE International Symposium on Parallel&Distributed Processing, 2009.
 
 
BibTex
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@article{ 10.1109/IPDPS.2009.5161055,
author = {Seunghwa Kang and David A. Bader and Richard Vuduc},
title = {Understanding the design trade-offs among current multicore systems for numerical computations},
journal ={Parallel and Distributed Processing Symposium, International},
volume = {0},
year = {2009},
isbn = {978-1-4244-3751-1},
pages = {1-12},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2009.5161055},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Processing Symposium, International
TI - Understanding the design trade-offs among current multicore systems for numerical computations
SN - 978-1-4244-3751-1
SP1
EP12
A1 - Seunghwa Kang,
A1 - David A. Bader,
A1 - Richard Vuduc,
PY - 2009
VL - 0
JA - Parallel and Distributed Processing Symposium, International
ER -
 
Seunghwa Kang, Georgia Institute of Technology, Atlanta, 30332, USA
David A. Bader, Georgia Institute of Technology, Atlanta, 30332, USA
Richard Vuduc, Georgia Institute of Technology, Atlanta, 30332, USA
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 second-generation 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.
Citation:
Seunghwa Kang, David A. Bader, Richard Vuduc, "Understanding the design trade-offs among current multicore systems for numerical computations," ipdps, pp.1-12, 2009 IEEE International Symposium on Parallel&Distributed Processing, 2009
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