Over at the
With support for both Nvidia Tesla K20X GPU accelerators and Intel Xeon Phi coprocessors, the Cray XC30 architecture combines multi-core and many-core.
HP and Nvidia have opened a new research lab to help software vendors and developers tackle HPC challenges using the latest technology from the two companies.
Over at the Cuda Developer Zone, Calisa Cole writes that Dr. Adam Gazzaley of UC San Francisco is using GPU computing to accelerate brain science research. We are working with a distributed team (UCSF/Stanford/UCSD and Eyevapor) to CUDA-enable EEG processing to increase the fidelity of real-time brain activity recordings. The goal is to more accurately […]