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Accelerating Cosmological Data Analysis with FPGAs

Published 1 January 2009
Volodymyr Kindratenko, Robert J. Brunner
Citations7

TL;DR

The performance improvements of the FPGA implementation of a common cosmological data analysis algorithm in DIME-C are shown to be in a good agreement with the predictions of the Reconfigurable Computing Amenability test.

Abstract

We present an implementation of a common cosmological data analysis algorithm in DIME-C for the Nallatech H101 FPGA accelerator board. We apply the Reconfigurable Computing Amenability test to investigate the suitability of FPGAs for accelerating this algorithm. We present a parallelization strategy for the FPGA implementation of the algorithm and discuss its realization in DIME-C. The performance improvements of our FPGA implementation are shown to be in a good agreement with the predictions of the Reconfigurable Computing Amenability test.

Keywords

Computer SciencePhysics and Astronomy