Hardware Technologies for High-Performance Data-Intensive Computing

Maya Gokhale, Jonathan Cohen, Andy Yoo, W. Marcus Miller, Arpith Jacob, Craig Ulmer, Roger Pearce
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
more » ... significantly boost performance of a wide range of applications by increasing compute cycles and bandwidth and reducing latency.
doi:10.1109/mc.2008.125 fatcat:hsinfh2o4bgzvjftb4bmvfwsvu