Maciej Wielgosz∗ COMPUTATION ACCELERATION ON SGI RASC: FPGA BASED RECONFIGURABLE COMPUTING HARDWARE

In this paper a novel method of computation using FPGA technology is presented. In sev-eral cases this method provides a calculations speedup with respect to the General Purpose Processors (GPP). The main concept of this approach is based on such a design of comput-ing hardware architecture to fit algorithm dataflow and best utilize well known computing techniques as pipelining and parallelism. Configurable hardware is used as a implementa-tion platform for custom designed hardware. Paper will present implementation results of algorithms those are used in such areas as cryptography, data analysis and scientific com-putation. The other promising areas of new technology utilization will also be mentioned, bioinformatics for instance. Mentioned algorithms were designed, tested and implemented on SGI RASC platform. RASC module is a part of Cyfronet’s SGI Altix 4700 SMP system. We will also present RASC modern architecture. In principle it consists of FPGA chips and very fast, 128-bit wide local memory. Design tools avaliable for designers will also be presented