high performance computing on graphics processing units: hgpu.org

We present a general framework for GPU-based low-latency data transfer schemes that can be used for a variety of particle-mesh algorithms [8]. This framework allows to hide the latency of the data transfer between GPU-accelerated computing nodes by interleaving it with the kernel execution on the GPU. We discuss as an example the fully relativistic particle-in-cell (PiC) code PIConGPU [5] currently used to simulate particle acceleration by extremely short high-energy laser pulses. The PiC algorithm is a versatile algorithm used frequently in plasma physics-especially for large-scale simulations of fusion plasmas [13]-, in astrophysics [7], [9], or for the simulation of particle accelerators [11]. A special Cell processor version is used as a benchmark code for the Roadrunner system at Los Alamos National Lab [4].