Accelerating Cosmological Data Analysis with FPGAs

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...

Full description

Saved in:
Bibliographic Details
Published in2009 17th IEEE Symposium on Field Programmable Custom Computing Machines pp. 11 - 18
Main Authors Kindratenko, V.V., Brunner, R.J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2009
Subjects
Acceleration
Data analysis
Distributed computing
Field programmable gate arrays
Hardware
High level languages
Histograms
Instruments
Life estimation
reconfigurable computing
Testing
two-point angular correlation
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:9780769537160
0769537162
DOI:10.1109/FCCM.2009.12