Results 151 to 160 of about 31,177 (208)
Application of the Time-Domain Multichromophoric Fluorescence Resonant Energy Transfer Method in the NISE Programme. [PDF]
Zhong K +7 more
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Efficient and Parallel Implementation of Real and Complex Response Functions Employing the Second-Order Algebraic-Diagrammatic Construction Scheme for the Polarization Propagator. [PDF]
Brand M, Dreuw A, Norman P, Li X.
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Hybrid optimization technique for matrix chain multiplication using Strassen's algorithm. [PDF]
Thota S, Bikku T, T R.
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International Journal of Parallel Programming, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
O'brien, Kevin +4 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
O'brien, Kevin +4 more
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Multithreaded Parallelism with OpenMP
Parallel Processing Letters, 2004While multithreaded programming is an effective way to exploit concurrency, multithreaded programs are notoriously hard to program, debug and tune for performance. In this paper, we present OpenMP shared memory programming as a viable alternative and a much simpler way to write multithreaded programs.
RAIMI RUFAI +3 more
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Nested Parallelization with OpenMP
International Journal of Parallel Programming, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
an Mey, Dieter +2 more
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Simulation of MD Using OpenMP and OpenMP–SIMD
2020MD is used to understand the temperature and pressure dependencies of dynamical concept in liquids, solids, and liquid–solid interfaces. It is a computer simulation method to visualize the behavior of atoms and molecules. MD simulation techniques are also well defined for understanding surface phenomena, as they give a qualitative understanding of ...
Naman Khurpia +3 more
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ACM SIGPLAN Notices, 2009
GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Although a new Compute Unified Device Architecture (CUDA) programming model from NVIDIA offers improved programmability for general computing, programming GPGPUs is still complex and error-prone.
Lee, Seyong +2 more
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GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Although a new Compute Unified Device Architecture (CUDA) programming model from NVIDIA offers improved programmability for general computing, programming GPGPUs is still complex and error-prone.
Lee, Seyong +2 more
openaire +2 more sources

