Accelerating Cosmological Data Analysis with FPGAs

Author

Kindratenko, Volodymyr V. ; Brunner, Robert J.

Author_Institution

Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA

fYear

2009

fDate

5-7 April 2009

Firstpage

11

Lastpage

18

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

astronomy computing; cosmology; data analysis; field programmable gate arrays; reconfigurable architectures; DIME-C; Nallatech H101 FPGA accelerator board; cosmological data analysis algorithm; parallelization strategy; reconfigurable computing amenability test; Acceleration; Data analysis; Distributed computing; Field programmable gate arrays; Hardware; High level languages; Histograms; Instruments; Life estimation; Testing; reconfigurable computing; two-point angular correlation;

fLanguage

English

Publisher

ieee

Conference_Titel

Field Programmable Custom Computing Machines, 2009. FCCM '09. 17th IEEE Symposium on

Conference_Location

Napa, CA

Print_ISBN

978-0-7695-3716-0

Type

conf

DOI

10.1109/FCCM.2009.12

Filename

5290959