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.

Presents a taxonomy of existing high performance reconfigurable computer architectures

Examines the software tools used in the design and programming of HPRC systems

Discusses the future of HPRC and speculates on the shape of future HPRC systems

Includes supplementary material: [...]

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.