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Application of FPGA technology to performance limitations in radiation therapy

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.