Accelerating Scientific Computations using FPGAs
Oliver Pell, Kubilay Atasu, Oskar Mencer · amos · 2006
Conventional processors are hitting the limits of attainable clock frequencies and thus, future significant increases in performance must come from exploiting parallelism. FPGA Accelerators have been shown to have the potential to speedup highly parallel applications by an order of magnitude and recent FPGA technology provides sufficient resources to tackle scientific applications on large-scale parallel systems. As a case study we implement the Fast Fourier Transform on FPGA and show that significant speed-ups are possible over general purpose processors.