Title :
Abstract: Quantum Mechanical Simulations of Crystalline Helium Using High Performance Architectures
Author :
Jenkins, D.D. ; Hinde, R.J. ; Peterson, Gregory D.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA
Abstract :
With the rapid growth of emerging high performance architectures comes the ability for the acceleration of computational science applications. In this work, we present our approach to accelerating a Quantum Monte Carlo method called Variational Path Integral. Using many microprocessors and graphics processing units, this VPI implementation simulates the interactions of helium atoms in a crystallized structure at near zero temperature. This work uses an improved master-worker approach to increase scalability from tens to thousands of cores on the Kraken supercomputer. A single node of the Keeneland GPU cluster delivers performance equivalent to ten nodes of Kraken. High performance computing enables us to simulate larger crystals and many more simulations than were previously possible.
Keywords :
Monte Carlo methods; chemical structure; chemistry computing; crystal structure; graphics processing units; helium; integral equations; parallel machines; quantum computing; He; Keeneland GPU cluster; Kraken supercomputer; VPI implementation; computational science application; crystalline helium; crystallized structure; graphics processing unit; helium atom interaction; high performance architecture; high performance computing; master-worker approach; microprocessor; quantum Monte Carlo method; quantum mechanical simulation; variational path integral; zero temperature; GPU; Monte Carlo; computational chemistry; high performance computing; supercomputing;
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4673-6218-4
DOI :
10.1109/SC.Companion.2012.265