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Exascale Monte Carlo R&D

Description/Abstract

Overview of this presentation is (1) Exascale computing - different technologies, getting there; (2) high-performance proof-of-concept MCMini - features and results; and (3) OpenCL toolkit - Oatmeal (OpenCL Automatic Memory Allocation Library) - purpose and features. Despite driver issues, OpenCL seems like a good, hardware agnostic tool. MCMini demonstrates the possibility for GPGPU-based Monte Carlo methods - it shows great scaling for HPC application and algorithmic equivalence. Oatmeal provides a flexible framework to aid in the development of scientific OpenCL codes.

DOI 10.2172/1047104
Creator/Author: Marcus, Ryan C. [Los Alamos National Laboratory]
Publication Date:2012 Jul 24
OSTI Identifier:OSTI ID: 1047104
Report Number(s):LA-UR-12-23349
DOE Contract Number:AC52-06NA25396
DOI:10.2172/1047104
Other Number(s):TRN: US201216%%347
Resource Type:Technical Report
Research Org:Los Alamos National Laboratory (LANL)
Sponsoring Org:DOE/LANL
Subject:97 MATHEMATICAL METHODS AND COMPUTING; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; MONTE CARLO METHOD; COMPUTERS; COMPUTER CODES; PROGRAMMING
Country of Publication:United States
Language:English
Update Date:2012 Dec 05

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