SC19 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

Poster 1: Early Experiences on OpenPOWER Architecture: Analysis of Billion-Scale Atomistic Datasets

Student: Yuya Kawakami (Grinnell College, Oak Ridge National Laboratory)
Supervisor: Benjamín Hernández (Oak Ridge National Laboratory)

Abstract: We present performance analysis on OpenPOWER architecture of an algorithm to generate transversal views of atomistic models. The algorithm was implemented with data parallel primitives in NVIDIA Thrust for architecture portability. We report performance results on IBM Power9 CPUs (OpenMP, Intel Threading Blocks) and NVIDIA Volta GPUs (single and multi GPU). We also evaluate CUDA unified memory performance, exposed by NVIDIA RAPIDS Memory Manager library (RMM).

ACM-SRC Semi-Finalist: yes

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