GTC Silicon Valley-2019: LLNL Sierra: Lessons Learned from Porting LLNL Production Applications to Sierra
Note: This video may require joining the NVIDIA Developer Program or login
GTC Silicon Valley-2019 ID:S9512:LLNL Sierra: Lessons Learned from Porting LLNL Production Applications to Sierra
David Dawson(Lawrence Livermore National Laboratory)
We'll discuss how code teams at Lawrence Livermore National Laboratory (LLNL) are porting our production applications to Sierra, LLNL's flagship NVIDIA GPU-Based supercomputer. In general, our codes rely on a three-stage process of investment, porting, and performance tuning to achieve performance on NVIDIA Tesla V100 GPUs, while maintaining portability to our other supported platforms. We'll explain why this process poses many challenges and how LLNL code teams have worked with the Sierra Center of Excellence to build experience and expertise in porting complex multi-physics simulation tools to NVIDIA GPU-Based HPC systems. We'll also provide an overview of this porting process, the abstraction technologies employed, lessons learned, and current challenges.