Monte Carlo Simulations of Random Magnetization Dynamics Driven by a Jump-Noise Process on General Purpose Graphics Processing Units (GPUs)

2013 ◽  
Vol 49 (7) ◽  
pp. 3133-3136 ◽  
Author(s):  
Z. Liu ◽  
A. Lee ◽  
P. McAvoy ◽  
G. Bertotti ◽  
C. Serpico ◽  
...  
2011 ◽  
Vol 7 (10) ◽  
pp. 3208-3222 ◽  
Author(s):  
Jihan Kim ◽  
Jocelyn M. Rodgers ◽  
Manuel Athènes ◽  
Berend Smit

2013 ◽  
Vol 13 (Special-Issue) ◽  
pp. 153-166
Author(s):  
Ji Yimu ◽  
Kuang Zizhuo ◽  
Pan Qiao Yu ◽  
Sun Yanpeng ◽  
Kang Jiangbang ◽  
...  

Abstract The GPGPU (General Purpose Graphics Processing Units) have become a whole new area for research due to the fast development of GPU hardware and programming tools, such as CUDA (Compute Unified Device Architecture). Here we have made a research on CUDA and its applications in the field of scientific computation, as organ electronics. We propose one solution of the parallel computation in global optimization of the physical characteristics in organ electronics with Monte Carlo, and one cloud service architecture for parallel computation of organ electronics was designed. Finally, one case of computing the organ molecule moving orbit was implemented based on the above solution and architecture, and has got a good display by the cloud service.


2012 ◽  
Vol 111 (7) ◽  
pp. 07D115 ◽  
Author(s):  
A. Lee ◽  
Z. Liu ◽  
C. Serpico ◽  
G. Bertotti ◽  
I. Mayergoyz

2011 ◽  
Vol 28 (1) ◽  
pp. 1-14 ◽  
Author(s):  
W. van Straten ◽  
M. Bailes

Abstractdspsr is a high-performance, open-source, object-oriented, digital signal processing software library and application suite for use in radio pulsar astronomy. Written primarily in C++, the library implements an extensive range of modular algorithms that can optionally exploit both multiple-core processors and general-purpose graphics processing units. After over a decade of research and development, dspsr is now stable and in widespread use in the community. This paper presents a detailed description of its functionality, justification of major design decisions, analysis of phase-coherent dispersion removal algorithms, and demonstration of performance on some contemporary microprocessor architectures.


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