High-performance special-purpose computers in science
Computing in Science and Engineering
Evolution on a chip: evolvable hardware aims to optimize circuit design
Computing in Science and Engineering
The quest for petascale computing
Computing in Science and Engineering
Horizons in Scientific and Distributed Computing
Computing in Science and Engineering
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In this paper an FPGA based coprocessor is presented, interfaced with the CPU to the computer through the PCI bus; it allows a faster evaluation of the energy of a crystal, which is usually the heaviest part of a Monte Carlo simulation. The work is part of a global project aimed to design and build a parallel system made up by a cluster of accelerated workstations communicating through one among the most advanced modern network technologies. First estimations of performance show a big acceleration with respect to the execution of the same application on an Intel CPU based mother-board.