Accelerating Cosmological Data Analysis with FPGAs

Authors:
Volodymyr V. Kindratenko;Robert J. Brunner
Affiliations:
-;-
Venue:
FCCM '09 Proceedings of the 2009 17th IEEE Symposium on Field Programmable Custom Computing Machines
Year:
2009

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Implementation of the two-point angular correlation function on a high-performance reconfigurable computer

Scientific Programming

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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.