In this paper, we propose an approach to obtaining enhanced performance of the Linpack benchmark on a GPU-accelerated PC cluster connected via relatively slow inter-node connections. For one node with a quad-core Intel Xeon W3520 processor and a NVIDIA Tesla C1060 GPU card, we implement a CPU–GPU parallel double-precision general matrix–matrix multiplication (dgemm) operation, and achieve a per...

We implemented fast Gaussian gridding (FGG)-based non-uniform fast Fourier transform (NUFFT) on the graphics processing unit (GPU) architecture for ultrahigh-speed, real-time Fourier-domain optical coherence tomography (FD-OCT). The Vandermonde matrix-based non-uniform discrete Fourier transform (NUDFT) as well as the linear/cubic interpolation with fast Fourier transform (InFFT) methods are al...

Graphic Processing Units (GPUs), wtih their highly parallel structure, is a powerful tool to manipulate computer graphics and process large amounts of data in parallel. GPUs are becoming increasingly popular in today’s embedded system world. One typical example is the modern vehicle. Nowadays, modern vehicles are often required to run graphic applications such as instrumentation cluster, naviga...

Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the efficiency of parameter tuning or to speed up optimizations involving inexpensive fitness functions. A GPU platform is commonly adopted in the research community to implement parallelization, and this platform has been shown to be superior to the traditional CPU platform in many previous studies. H...

Graphics processors (GPUs) have recently emerged as a powerful co-processor for general-purpose computation. Compared with commodity CPUs, GPUs have an order of magnitude higher computation power as well as memory bandwidth. Moreover, new-generation GPUs allow writes to random memory locations, provide efficient inter-processor communication through on-chip local memory, and support a general-p...

Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of algorithms such as genetic algorithms (GAs) and local search (LS) methods have provided very powerful search algorithms. However, due to their complexity, the computational time of the solution search exploration remains exorbitant when large problem instances are to be so...

The process of monoclonal antibody (MAI») binding to tumor cells is greatly influenced by the biology of the respective antigen. This was concluded from an analysis of binding and release of MAns and MAli fragments to melanoma cells at different concentration levels and different temperatures. With an antigen known to be stably expressed at the cell surface (i.e., M, 97,000 protein) rapid bind...

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l Introduction The aim of this article is to provide an assessment of the linguistic diversity that is endangered in Africa. The African continent has a large number of languages , roughly 2000, or, one third of the world's linguistic heritage. At the outset we should state that the Situation of the indigenous languages of Africa is in general healthy, presently and in the immediate future. Mos...

among different discretization approaches, finite difference method (fdm) is widely used for acoustic and elastic full-wave form modeling. an inevitable deficit of the technique, however, is its sever requirement to computational resources. a promising solution is parallelization, where the problem is broken into several segments, and the calculations are distributed over different processors. ...