high performance computing on graphics processing units: hgpu.org

A many-core processor design for high-performance systems draws from embedded computing’s low-power architectures and design processes, providing a radical alternative to cluster solutions. The computational power required to accurately model extreme problem spaces, such as climate change, requires more than a business-as-usual approach. Building ever-larger clusters of commercial off-the-shelf (COTS) hardware will be increasingly constrained by power and cooling-with power consumption projected to be hundreds of megawatts for exascale-class problems according to recent DARPA and DOE reports. It makes more sense therefore to leverage the considerable innovation of the low-power architectures developed for embedded computing markets and design a machine capable of the exaf lops performance (1 billion-billion floating-point operations per second) required for this and similarly demanding scientific applications.