GPU-Based Parallel Computing: A New Computational Approach and its Applications to Nuclear Engineering

摘要

Faster speed and higher accuracy are, and will always be pursued by computational scientists and engineers. To achieve these goals, single-core microprocessors were assembled to arrive at "parallel computing". This parallelism is recently extended to chip-level with the emergence of multi- and many-core architectures-that is, roughly, adding more cores onto a single chip-in both Central Processing Units (CPUs) and Graphics Processing Units (GPUs). As a result, scientific computing is rapidly moving toward many-core parallelism. Modeling and simulation in nuclear science and engineering relies heavily on computational power. Nuclear engineers took advantage of parallelization to advance the simulations of neutronics, thermal hydraulics, materials, plasma physics, etc [2, 3]. The field is expected to benefit significantly from the new many-core GPU technology.