Massively parallel processing with CUDA
Massively parallel non-stationary EEG data processing on GPGPU platforms with Morlet continuous wavelet transform
... Recent research has focused on using many-core platform such as GPU to improve wavelet transform, and nearly all works along this direction are targeted at DWT. For instance, Wong et al implement a two-dimension DWT with ...
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Airborne radar clutter simulation using GPU (CUDA)
... graphics processing unit (GPU) offers a very impressive architecture for scientific computing on a single ...highly parallel, multithreaded, many core processor and very high memory ...graphics ...
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An MPI-CUDA Implementation for Massively Parallel Incompressible Flow Computations on Multi-GPU Clusters
... graphics processing units (GPUs) with many-core architectures have emerged as general-purpose parallel computing platforms that can accelerate simulation science applications ...central processing ...
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Interactive parallel fluid solver using the Lattice-Boltzmann method and CUDA
... One big advantage of the Particle Methods is the inherent parallelism. This is due that in most cases each particle or packet of particles can be computed inde- pendently. This makes convenient the use of ...
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Bayesian Word Alignment for Massively Parallel Texts
... Massively parallel texts, in the sense used by Cysouw and W¨alchli (2007), are essentially the same as bitexts, only with hundreds or thousands of languages rather than just ...two. Parallel corpora ...
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APPLICATIONS OF LINUX-BASED QT-CUDA PARALLEL ARCHITECTURE
... GPU Parallel Principle ...(Central Processing Unit), which follows Moore's Law of every 18 to 24 months to double the ...GPU parallel computing can not be carried out until the official release of ...
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Accuracy and quality of massively parallel DNA pyrosequencing
... falls below a threshold length. The software identifies as ambiguous flow cycles in which no flowgram value was greater than 0.5. If 5% or more of the flow cycles for a read are ambiguous, the read is removed. The ...
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Lightweight Massively Parallel Suffix Array Construction
... lightweight massively parallel SACA on the GPU using the prefix-doubling ...high-performance parallel primitives such as radix sort, conditional filtering, inclusive prefix sum, random memory ...
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Data Dissemination and Parallel Processing Techniques Research Based on Massively Parallel Processing
... and parallel processing technology based on relational SQL query ...in parallel processing, each node needs to store a copy of the query table, and execute SQL statements concurrently on each ...
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A Review on Image Compression in Parallel using CUDA
... Utilizing Parallel implementation of the compression algorithm this quandary can be ...overcome. CUDA (Compute Unified Device Architecture) Provides parallel execution for algorithm utilizing the ...
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Fast parallel volume visualization on CUDA technology
... unsupervised strategy performs brain MRI segmentation with no prior knowledge or information. The supervised methods are listed to include Bayes classifiers with labeled maximum likelihood estimators, the k-nearest ...
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GPU-Based Data Processing for 2-D Microwave Imaging on MAST
... signal processing tasks and data conditioning are ...14 CUDA kernels were constructed to process the data and the CUFFT library was used to perform Fourier ...
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A Review Of Cuda, Mapreduce, And Pthreads Parallel Computing Models
... three parallel programming models, CUDA, MapReduce, and ...of parallel programming concepts and thus faster implementation of big data projects using high performance ...many parallel, ...
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SICTIN: Rapid footprinting of massively parallel sequencing data
... The advent of massively parallel sequencing technologies has opened a field for hypothesis-free investigation of e.g. protein-DNA interaction. In order to facilitate truly exploratory biological data mining ...
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Pond: A Robust, scalable, massively parallel computer architecture
... Having covered the architectures organization, communications, operation, and perfor- mance evaluation, we continue in this section to highlight and discuss its most relevant features and benefits. Provided there are ...
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Massively parallel sequencing and analysis of the Necator americanus transcriptome
... Methodology/Principal Findings: A total of 19,997 contigs were assembled from the sequence data; 6,771 of these contigs had known orthologues in the free-living nematode Caenorhabditis elegans, and most of them encoded ...
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Performance Analysis of a 3D Wireless Massively Parallel Computer
... One of the paths for future work is to abandon the principle of having static nodes and let them have freedom of movement (at least to some extent). The self-autonomy given to the nodes turns them into an agent or robot ...
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Programming GPUs with CUDA
... CUDA = Compute Unified Device Architecture • Software platform for parallel computing on Nvidia GPUs.. —introduced in 2006.[r] ...
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MPRAnalyze: statistical framework for massively parallel reporter assays
... two parallel procedures: RNA-sequencing is used to measure the number of transcripts produced from each barcode, and DNA- sequencing is used to measure the number of construct copies of each ...
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Massively parallel quantization implementation using simulated annealing
... of parallel image processing systems is designed in C us- ing a common framework with multiple ...image processing, some people choose to model their algorithm in ...
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