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High-performance computing using fpgas

High-performance computing using fpgas

Name: High-performance computing using fpgas

File size: 907mb

Language: English

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High-Performance Computing using FPGA covers the area of high performance reconfigurable computing (HPRC). This book provides an overview of. The ready availability and high-power efficiency of high-density FPGAs make them attractive to the HPC community. Since their invention in the mids, FPGAs have been used to accelerate high-performance applications on custom computing machines. High Performance Reconfigurable Computing (HPRC) has emerged as an alternative way to accelerate applications using FPGAs. The system is made up of 32 low-cost FPGA boards and a custom-made high-speed network interface using RocketIO interfaces.

27 Jan Vanderbauwhede, W. and Benkrid, K. (Eds.) () High-Performance Computing Using FPGAs. Springer: New York, NY. Advancements in silicon, software, and IP have proven Xilinx FPGAs to be the ideal solution for accelerating applications on high-performance embedded computers and servers. This white paper describes the various use models for applying FPGAs in High Performance Computing (HPC) systems. The recent development of large FPGAs along with the availability of a variety of floating point cores have made it possible to implement high-performance.

High Performance Embedded. Computing using FPGAs. The Professional Leader in Innovative, Low Risk and High Performance FPGA Processing Solutions. High Performance Scientific Computing Using FPGAs with IEEE Floating Point and Logarithmic Arithmetic for Lattice QCD. Abstract: The recent development of . This book is concerned with the emerging field of High Performance Reconfigurable Computing (HPRC), which aims to harness the high performance and. Accelerating High-Performance Computing With FPGAs and ease-of use, along with significant power savings, comes from using FPGAs as the basis of. Maxeler Technologies and Stanford University. Using FPGAs for HPC* acceleration: now and in 20 years. *High Performance Computing for large “ warehouse”.


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