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Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) code was examined in an Intel Quad-Core Xeon platform for its speedup and scaling ability. The study shows that the most time-consuming task in the code is force computing and this part can be scaled linearly. However, other tasks do not have this feature. Future work will focus on speeding up of these other parts to enhance the performance...
Performance evaluation techniques for fundamental graphics algorithms and for algorithms to be used in multimedia and embedded systems are investigated. Models of computation considering only arithmetic and logic operations taken on input data are regarded as inadequate for processors with instruction-level parallelism. For experimental evaluation of graphics algorithms clock-cycle counting is found...
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