Association for Computing Machinery
Gorilla is a methodology for generating FPGA-based solutions especially well suited for data parallel applications with fine grain irregularity. Irregularity simultaneously destroys performance and increases power consumption on many data parallel processors such as General Purpose Graphical Processor Units (GPGPUs). Gorilla achieves high performance and low power through the use of FPGA-tailored parallelization techniques and application-specific hardwired accelerators, processing engines, and communication mechanisms. Automatic compilation from a stylized C language and templates that define the hardware structure coupled with the intrinsic flexibility of FPGAs provide high performance, low power, and programmability.