NVIDIA is among six technology companies to receive a total of US$258 funding from the US Department of Energy’s Exascale Computing Project (ECP).
The funding is to accelerate the development of next-generation supercomputers with the delivery of at least two exascale computing systems, one of which is targeted by 2021.
Such systems would be about 50 times more powerful than the US’ fastest supercomputer, Titan, located at Oak Ridge National Laboratory.
The goal of the ECP PathForward programme is to find solutions that maximise the energy efficiency and overall performance of future large-scale supercomputers critical to areas such as national security, manufacturing, industrial competitiveness and energy research.
In addition to performance, the DOE has ambitious goals for improving power efficiency, to achieve exascale performance using only 20-30 megawatts. By comparison, an exascale system built with CPUs alone could consume hundreds of megawatts.
NVIDIA has been researching and developing faster, more efficient GPUs for high performance computing for more than a decade. This is its sixth DOE research and development subcontract, which will help accelerate its efforts to develop highly efficient throughput computing technologies to ensure US leadership in HPC.
NVIDIA’s R&D will focus on critical areas including energy-efficient GPU architectures and resilience. Its findings may be incorporated into future generation GPU architectures after Volta (which will be used in the DOE’s upcoming flagship Summit and Sierra supercomputers, scheduled to go online in 2018).
NVIDIA research teams will test its technology through collaborations with six national DOE laboratories: Argonne National Laboratory, Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, Los Alamos National Laboratory, Oak Ridge National Laboratory, and Sandia National Laboratories.