21 October 1996 Application of FPGA technology to performance limitations in radiation therapy
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John J. DeMarco, J. B. Smathers, Tim D. Solberg, Steve Casselman, "Application of FPGA technology to performance limitations in radiation therapy", Proc. SPIE 2914, High-Speed Computing, Digital Signal Processing, and Filtering Using Reconfigurable Logic, (21 October 1996); doi: 10.1117/12.255827; https://doi.org/10.1117/12.255827
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