Department of Enrollment
Faculty Mentor Name
Alark Joshi, PhD.
The introduction and rise of General Purpose Graphics Computing has significantly impacted parallel and high-performance computing. It has introduced challenges when it comes to distributed computing with GPUs. Current solutions target specifics: specific hardware, specific network topology, a specific level of processing. Those restrictions on GPU computing limit scientists and researchers in various ways. The goal of OpenCUDA+MPI project is to develop a framework that allows researchers and scientists to write a general algorithm without the overhead of worrying about the specifics of the hardware and the cluster it will run against while taking full advantage of parallel and distributed computing on GPUs. As work toward the solution continues to progress, we have proven the need for the framework and expect to find the framework enables scientists to focus on their research.
Ballou, Kenny and Mohammad Mousa, Nilab, "OpenCUDA+MPI" (2013). Student Research Initiative. 14.