Accelerating analysis of void space in porous materials on multicore and GPU platforms

International Journal of High Performance Computing Applications

Volumn 26, Issue 4, 2012, Pages 347-357

  Martin, Richard L ^a   Prabhat, ^a   Donofrio, David D ^a   Sethian, James A ^a,b   Haranczyk, MacIej ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

code optimization; general purpose computation on GPUs; multicore programming; porous materials; screening; zeolites

Indexed keywords

CARBON DIOXIDE CAPTURE; CODE OPTIMIZATION; COMPUTATIONAL TOOLS; COMPUTATIONALLY EFFICIENT; CRITICAL STEPS; FAST MARCHING METHODS; GENERAL PURPOSE; GPU IMPLEMENTATION; HIGH THROUGH-PUT CHARACTERIZATION; HIGH-THROUGHPUT MATERIALS; MATERIAL DATABASE; METHANE STORAGE; MOLECULAR DYNAMICS SIMULATIONS; MOLECULAR SIMULATIONS; MULTI CORE; OIL REFINEMENT; OPTIMAL MATERIALS; PARALLELIZATIONS; VOID SPACE;

ALGORITHMS; CARBON DIOXIDE; CHARACTERIZATION; COMPUTER PROGRAMMING; HYDROGEN; HYDROGEN STORAGE; METHANE; MOLECULAR DYNAMICS; MULTICORE PROGRAMMING; OPTIMIZATION; POROUS MATERIALS; PROGRAM PROCESSORS; SCREENING; THROUGHPUT; ZEOLITES;

SPACE PLATFORMS;

EID: 84865196612     PISSN: 10943420     EISSN: 17412846     Source Type: Journal    
DOI: 10.1177/1094342011431591     Document Type: Article

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