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This paper analyzes the parallelization efficiency of Menge [1], an open source virtual crowd simulation system widely used for algorithm benchmarking, with focuses on three aspects: performance of the existing parallel processing scheme, bottleneck of parallel processing, and improvement opportunities for parallel efficiency of the system. First, we calculate the speedup ratio of each Menge module...
Parallel computing namely the unification of multiple computers or servers into a single unit that can work simultaneously or processes simultaneously. Parallel computing is creating programs and processes run faster as more and more CPU used. Basically parallel computing using network media, but that is characteristic in particular is how to resolve the issue. Problems encountered here is how me-rendering...
In this paper, we aim to introduce a new perspective when comparing highly parallelized algorithms on GPU: the energy consumption of the GPU. We give an analysis of the performance of linear algebra operations, including addition of vectors, element-wise product, dot product and sparse matrix-vector product, in order to validate our experimental protocol. We also analyze their uses within conjugate...
The complexities of research in science have been increasing extremely. Numerous mathematical models have been developed. Matrix has been used popularly to model numerous and complex science and engineering problems. It is found that as the dimension of the matrix grows in size, the complexities of matrix computation increase. This problem may be solved by using large computer system (i.e. mainframe)...
The development of computational grid of the research institute of intelligent computer systems is described in this paper. The development of computational grid's hardware and software are presented. The performance experiments are done concerning the parallelization of artificial neural networks training implemented on the proposed grid architecture.
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