Publication | Open Access
Multi-hetero Acceleration by GPU and FPGA for Astrophysics Simulation on oneAPI Environment
17
Citations
6
References
2022
Year
Unknown Venue
EngineeringAstrophysics SimulationHardware AlgorithmComputer ArchitectureGpu ComputingHardware SecurityOneapi EnvironmentSystems EngineeringModeling And SimulationParallel ComputingComputer EngineeringComputer ScienceGpu ClusterFpga DesignMulti-hetero AccelerationAstrophysicsComputational ScienceGpu ArchitectureScientific ComputationsAerospace EngineeringSingle CodeParallel ProgrammingGraphics Processing UnitGpu Virtualization
GPU (Graphics Processing Unit) computing is one of the most popular accelerating methods for various high-performance computing applications. For scientific computations based on multi-physical phenomena, however, a single device solution on a GPU is insufficient, where the single timescale or degree of parallelism is not simply supported by a simple GPU-only solution. We have been researching a combination of a GPU and FPGA (Field Programmable Gate Array) for such complex physical simulations. The most challenging issue is how to program these multiple devices using a single code.
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