Accelerating Spectral Calculation through Hybrid GPU-Based Computing

Jian Xiao, Xingyu Xu, Ce Yu, Jiawan Zhang, Shuinai Zhang, Li Ji, Jizhou Sun
2015 2015 44th International Conference on Parallel Processing  
Spectral calculation and analysis have very important practical applications in astrophysics. The main portion of spectral calculation is to solve a large number of onedimensional numerical integrations at each point of a large three-dimensional parameter space. However, existing widely used solutions still remain in process-level parallelism, which is not competent to tackle numerous compute-intensive small integral tasks. This paper presented a GPU-optimized approach to accelerate the
more » ... l integration in massive spectral calculation. We also proposed a load balance strategy on hybrid multiple CPUs and GPUs architecture via share memory to maximize performance. The approach was prototyped and tested on the Astrophysical Plasma Emission Code (APEC), a commonly used spectral toolset. Comparing with the original serial version and the 24 CPU cores (2.5GHz) parallel version, our implementation on 3 Tesla C2075 GPUs achieves a speedup of up to 300 and 22 respectively.
doi:10.1109/icpp.2015.13 dblp:conf/icpp/XiaoXYZZJS15 fatcat:pkmelozcgvgh3gcfv4johvbjly