High-Performance Computing Using FPGAs

Wim Vanderbauwhede is currently a Lecturer at the Department of Computing Science of the University of Glasgow. Dr. Benkrid is currently a Senior Lecturer at School of Engineering and Electronics at The University of Edinburgh.

• High-Performance Hardware Acceleration of Asset Simulations.- Monte Carlo Simulation based Financial Computing on the Maxwell FPGA Parallel Machine.- Bioinformatics Applications on the FPGA-based High-Performance Computer RIVYERA.- FPGA-Accelerated Molecular Dynamics.- FPGA-based HPRC for Bioinformatics Applications.- High-Performance Computing for Neuroinformatics using FPGA.- High-Performance FPGA-Accelerated Real-time Search.- High-Performance Data Processing over N-ary Trees.- FPGA-based Systolic Computational-Memory Array for Scalable Stencil Computations.- High performance implementation of RTM seismic modeling on FPGAs: architecture, arithmetic and power issues.- High-Performance Cryptanalysis on RIVYERA and COPACOBANA Computing Systems.- FPGA-based HPRC Systems for Scientific Applications.- Accelerating the SPICE Circuit Simulator using an FPGA - A Case Study.- The Convey Hybrid-Core Architecture.- Low Cost High Performance Reconfigurable Computing.- An FPGA-based supercomputer for statistical physics: the weird case of Janus.- Accelerate Communication, not Computation!.- High-speed torus interconnect using FPGAs.- MEMSCALE: Re-architecting memory resources for clusters.- High-performance computing based on high-speed dynamic reconfiguration.- Reconfigurable arithmetic for HPC.- Acceleration of the Discrete Element Method: From RTL to C-Based Design.- Optimising Euroben Kernels on Maxwell.- Assessing Productivity of High-Level Design Methodologies for High-Performance Reconfigurable Computers.- Maximum performance computing with dataflow engines.