Apr. 5, 2009 to Apr. 7, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FCCM.2009.12
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.
two-point angular correlation, reconfigurable computing
Volodymyr V. Kindratenko, Robert J. Brunner, "Accelerating Cosmological Data Analysis with FPGAs", FCCM, 2009, Field-Programmable Custom Computing Machines, Annual IEEE Symposium on, Field-Programmable Custom Computing Machines, Annual IEEE Symposium on 2009, pp. 11-18, doi:10.1109/FCCM.2009.12