High-performance special-purpose computers in science
Computing in Science and Engineering
Understanding Molecular Simulation: From Algorithms to Applications
Understanding Molecular Simulation: From Algorithms to Applications
FPGAs vs. CPUs: trends in peak floating-point performance
FPGA '04 Proceedings of the 2004 ACM/SIGDA 12th international symposium on Field programmable gate arrays
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
The Supercomputer Industry in Light of the Top500 Data
Computing in Science and Engineering
High-Performance Computing: Clusters, Constellations, MPPs, and Future Directions
Computing in Science and Engineering
Ianus: An Adaptive FPGA Computer
Computing in Science and Engineering
A tightly coupled accelerator infrastructure for exact arithmetics
ARCS'10 Proceedings of the 23rd international conference on Architecture of Computing Systems
AusPDC '11 Proceedings of the Ninth Australasian Symposium on Parallel and Distributed Computing - Volume 118
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An accelerator based on field-programmable gate array (FPGA) technology accelerates double-precision floating-point operations present in the energy calculation of Monte Carlo–Metropolis simulations. The accelerator uses COTS components and is scalable in terms of clock frequency, memory capability, and number of computing units. It could also be part of a cluster of accelerated workstations.