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Hardware Technologies for High-Performance Data-Intensive Computing
2008
Computer
COPROCESSORS Coprocessors designed for data-oriented computing can deliver orders-of-magnitude better performance than general-purpose microprocessors on data-pathcentric compute kernels. We evaluated the benefits of two coprocessor architectures: graphics processors and reconfigurable hardware. Data-intensive problems challenge conventional computing architectures with demanding CPU, memory, and I/O requirements. Experiments with three benchmarks suggest that emerging hardware technologies can
doi:10.1109/mc.2008.125
fatcat:hsinfh2o4bgzvjftb4bmvfwsvu