graphics processing units
Cofactorization on Graphics Processing Units
... For graphics processing units (GPUs) this is considered in [7, 5, 10] and for reconfigurable hardware such as field-programmable gate arrays in [53, 45, 17, 14, 19, 32, ...
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Accelerating Petri Net simulations using NVIDIA graphics processing units
... General-Purpose Graphics Processing Units (GPGPUs) to develop a fast and low cost framework for PN ...compute units which has made them ideally suited to highly parallelized computing ...
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The feasibility of genome-scale biological network inference using Graphics Processing Units
... Systems research spanning fields from biology to finance involves the identification of models to represent the under- pinnings of complex systems. Formal approaches for data-driven identification of network interactions ...
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Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units
... Graphics Processing Units (GPUs) are com- monly used to train and evaluate neural net- works efficiently. While previous work in deep learning has focused on accelerating opera- tions on dense ...
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Accelerated Combinatorial Optimization using Graphics Processing Units and C++ AMP
... decade, Graphics Processing Units (GPUs) have evolved from narrowly scoped application specific accelerators to general-purpose parallel machines capable of accommodating an ever-growing set of ...
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Data remanence and digital forensic investigation for CUDA Graphics Processing Units
... speeds, Graphics Processing Units (GPUs) have been used by researchers as cost-effective off-the- shelf High Performance Computers ...database processing. These applications leverage the ...
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Marching cubes technique for volumetric visualization accelerated with graphics processing units
... central processing unit (CPU) to perform general purpose graphics processing tasks has not been enough to provide effective interactivity or real-time rendering, especially when employed in very ...
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Data-parallel agent-based microscopic road network simulation using graphics processing units
... Road network microsimulation is computationally expensive, and existing state of the art commercial tools use task parallelism and coarse-grained data-parallelism for multi-core processors to achieve improved levels of ...
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Accelerating the Computation of Haralick’s Texture Features using Graphics Processing Units (GPUs)
... general-purpose graphics processing units ...computer graphics cards) are more and more used to accelerate non-graphical software by highly parallel ...
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ASAMgpu V1.0 – a moist fully compressible atmospheric model using graphics processing units (GPUs)
... Abstract. In this work the three dimensional compressible moist atmospheric model ASAMgpu is presented. The cal- culations are done using graphics processing units (GPUs). To ensure platform ...
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A Holistic Resource Management for Graphics Processing Units in Cloud Computing
... The persistent development of Cloud computing attracts individuals and organisations to change their IT strategies. According to this development and the incremental demand of using Cloud computing, Cloud providers ...
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Distributed Support Vector Machine With Graphics Processing Units
... (graphics processing units), which cost less than CPUs (central processing units) is becoming ...3D graphics as specialized processors, but also have been used as accelerators ...
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CUDASW++: optimizing Smith Waterman sequence database searches for CUDA enabled graphics processing units
... 280 graphics card, with 30 SMs comprising 240 SPs and 1 GB RAM, installed in a PC with an AMD Opteron 248 ...This graphics card has a core frequency of 602 MHz, a unified processors frequency of 1,296 MHz ...
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Use of graphics processing units for sparse matrix-vector products in statistical machine learning applications
... end graphics cards that are able to render complex scenes at very fast frame ...As graphics problems are highly parallel in nature, GPUs have been designed as massively parallel archi- ...in graphics ...
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Strategies for protecting intellectual property when using CUDA applications on graphics processing units
... parallel processing (such as that carried out by GPU), performance of the code in question is significant, with the same code being executed in parallel across many hundreds of cores si- ...
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BarraCUDA a fast short read sequence aligner using graphics processing units
... Modern graphics cards are designed primarily for ren- dering real time, high-definition complex 3D graphics fea- tures for various visual applications such as gaming and graphics ...Each ...
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Resident block structured adaptive mesh refinement on thousands of graphics processing units
... A CUDA-capable GPU is a collection of stream multipro- cessors (SMs), consisting of a number of stream processors (SPs) that share an instruction cache. The CUDA program- ming model revolves around the concept of ...
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Volume ray casting techniques and applications using general purpose computations on graphics processing units
... This thesis has explored the benefits of general-purpose computing on graph- ics processing units by implementing and analyzing a volume rendering system. The renderer has been made accessible to both Mac ...
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Developing a multiscale, multi-resolution agent-based brain tumor model by graphics processing units
... To overcome the computation time problems, this study incorporates a graphics pro- cessing unit (GPU)-based parallel computing algorithm [18] into a multi-resolution design [16] to speed up the previous MABM ...
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Towards Comprehensive Parametric Code Generation Targeting Graphics Processing Units in Support of Scientific Computation
... on Line (15) in Figure 6.2, which is used as a column index of the two-dimensional arrays b and c. The current MetaFork-to-CUDA code generator does not support this format of non- linear expressions yet. In order to see ...
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