Review of Literature Related to Nuclear Data Mini-Apps
- Oregon State Univ., Corvallis, OR (United States)
his document reviews nuclear data mini-apps prevalent in the published scientific literature. It is intended to identify algorithmic and computer architecture considerations of relevance to optimizing GIDI/MCGIDI for GPU-based architectures. While some of the works considered here focus on CPU-based architectures, the performance-limiting factors and mitigating strategies identified often extend to GPU-based architectures, particularly in the context of latency-bound performance. A brief overview of the cross section (XS) lookup process is given in Section 1 and a detailed analysis of nuclear data mini-apps follows in Section 2. Concluding remarks are offered in Section 3.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Oregon State Univ., Corvallis, OR (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC52-07NA27344
- OSTI ID:
- 1773243
- Report Number(s):
- LLNL-SR--820909; 1032649
- Country of Publication:
- United States
- Language:
- English
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