High-performance physics simulations using multi-core CPUs and GPGPUs in a volunteer computing context

International Journal of High Performance Computing Applications

Volumn 25, Issue 1, 2011, Pages 61-69

  Karimi, Kamran ^a   Dickson, Neil ^a   Hamze, Firas ^a  

^a D WAVE SYSTEMS INC   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CENTRAL PROCESSING UNITS; COMPUTING RESOURCE; COMPUTING SYSTEM; GENERAL PUBLICS; GRAPHICS CARD; HIGH PERFORMANCE COMPUTING; MONTE CARLO; MULTI CORE; MULTI-THREADING; MULTIPLE CHAINS; NUMBER OF THREADS; PARALLEL TEMPERING; PARALLEL TEMPERING MONTE CARLO SIMULATIONS; PARALLELIZATIONS; PARALLELIZING; PHYSICS SIMULATION; PROBLEM SIZE; PROGRAMMING TECHNIQUE; SCALABLE PERFORMANCE; SERIAL ALGORITHMS; SIMPLE METHOD; VOLUNTEER COMPUTING;

COMPUTER GRAPHICS; COMPUTER SIMULATION; PROGRAM PROCESSORS; RANDOM NUMBER GENERATION; TEMPERING;

MONTE CARLO METHODS;

EID: 79951638366     PISSN: 10943420     EISSN: 17412846     Source Type: Journal    
DOI: 10.1177/1094342010372928     Document Type: Article

References (15)

1. Anderson, A.G., Goddard, W.A. and Schröder, P. (2007). Quantum Monte Carlo on Graphical Processing Units. Comput. Phys. Commun. 177 ( 3 ).
2. Anderson, D.P. (2004). BOINC: A system for public-resource computing and storage. In Proceedings of the Fifth IEEE/ ACM International Workshop on Grid Computing, Pittsburgh, pp. 365-372.
3. Anderson, J.B. (2007). Quantum Monte Carlo: Origins, Development, Applications. New York: Oxford University Press.
4. Berg, B.A. (2004). Markov Chain Monte Carlo Simulations and Their Statistical Analysis. Danvers: World Scientific Publishing Co.
5. Chapman, B., Jost, G. and van der Pas, R. (2008). Using OpenMP: Portable Shared Memory Parallel Programming. The MIT Press.
6. Fischer, K.H. and Hertz, J.A., (1993). Spin Glasses. Cambridge: Cambridge University Press.
7. Hamze, F., Dickson, N. and Karimi, K. (2010). Robust Parameter Selection for Parallel Tempering. Int. J. Mod. Phys. C. 21 (5). 603-615.
8. Hukushima, K. and Nemoto, K. (1996). Exchange Monte Carlo method and application to spin glass simulations. J. Phys. Soc. Jpn 65: 1604-1608. (Pubitemid 126456584)
9. Kirk, D. and Hwu, W. (2010). Programming Massively Parallel Processors: A Hands-on Approach. Burlington: Morgan Kaufmann Publishers.
10. Matsumoto, M. and Nishimura, T. (1998). Mersenne Twister: A 623-dimensionally equidistributed uniform pseudo-random number generator. ACM Trans. Model. Comput. Simul. 8 (1). 3-30.
11. Neven, H., Denchev, V.S., Rose, G. and Macready, W.G. (2008). Training a binary classifier with the quantum adiabatic algorithm. In Neural Information Processing Systems (NIPS) Workshop on Optimization for Machine Learning. Vancouver.
12. Robert C.P., and Casella, G. (2004). Monte Carlo Statistical Methods. New York: Springer-Verlag.
13. Rubinstein, R.Y. and Kroese, D.P. (2008). Simulation and the Monte Carlo Method. Hoboken: John Wiley & Sons.
14. Wu, J. (1999). Distributed System Design. Boca Raton, FL: CRC Press LLC.
15. Young, A.P., Knysh, S. and Smelyanskiy, V.N. (2008). Size dependence of the minimum excitation gap in the quantum adiabatic algorithm. Phys. Rev. Lett. 101, 170503.