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Proceedings Paper

Application of FPGA technology to performance limitations in radiation therapy
Author(s): John J. DeMarco; J. B. Smathers; Tim D. Solberg; Steve Casselman
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Paper Abstract

The field programmable gate array (FPGA) is a promising technology for increasing computation performance by providing for the design of custom chips through programmable logic blocks. This technology was used to implement and test a hardware random number generator (RNG) versus four software algorithms. The custom hardware consists of a sun SBus-based board (EVC) which has been designed around a Xilinx FPGA. A timing analysis indicates the Sun/EVC hardware generator computes 1 multiplied by 106 random numbers approximately 50 times faster than the multiplicative congruential algorithm. The hardware and software RNGs were also compare using a Monte Carlo photon transport algorithm. For this comparison the Sun/EVC generator produces a performance increase of approximately 2.0 versus the software generators. This comparison is based upon 1 multiplied by 105 photon histories.

Paper Details

Date Published: 21 October 1996
PDF: 5 pages
Proc. SPIE 2914, High-Speed Computing, Digital Signal Processing, and Filtering Using Reconfigurable Logic, (21 October 1996); doi: 10.1117/12.255827
Show Author Affiliations
John J. DeMarco, Univ. of California/Los Angeles (United States)
J. B. Smathers, Univ. of California/Los Angeles (United States)
Tim D. Solberg, Univ. of California/Los Angeles (United States)
Steve Casselman, Virtual Computer Corp. (United States)


Published in SPIE Proceedings Vol. 2914:
High-Speed Computing, Digital Signal Processing, and Filtering Using Reconfigurable Logic
John Schewel; Peter M. Athanas; V. Michael Bove Jr.; John Watson, Editor(s)

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