GPU Computing
GPU Computing
... best architecture released by NVIDIA, because after the release of G80, user feedback was taken all that all that was incorporated in Fermi ar- chitecture and feedback was taken mainly with respect to memory and ...
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GPU Computing in Statistics and R Solution.
... and computing efficiency can be significantly ...package GPU R [ 10 ] , released on April 2016, is basically an updated version of OpenCL by providing several matrix operation ...R GPU ...
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GPU Computing and Its Applications
... GPU computing is the use of a GPU to do general purpose scientific and engineering ...and GPU together in a variety of computing ...the GPU to improve ...
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High performance transcription factor-DNA docking with GPU computing
... (GPU) computing. GPU has recently evolved from a fixed-function graphical device into a highly programma- ble parallel processor, and has been successfully deployed to accelerate a broad range of ...
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MDI GPU : accelerating integrative modelling for genomic scale data using GP GPU computing
... Abstract: The integration of multi-dimensional datasets remains a key challenge in systems biology and genomic medicine. Modern high-throughput technologies generate a broad array of different data types, providing ...
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Leaf Recognition with Deep Learning and Keras using GPU computing
... Abstract– Our work is about using Deep Learning for leaf recognition using Keras and GPU compu- tation. We used 17 CNNs of ”Kaggle” [1], a Machine Learning training webpage that using simple challenges with prizes ...
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Accelerating the XGBoost algorithm using GPU computing
... partitioned at each level, the average number of training examples in each node decreases rapidly. Processing a small number of training examples in a single GPU kernel will severely underutilise the device. This ...
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Parallel centerline extraction on the GPU
... in GPU computing and has produced acceptable results for many ...GB GPU memory, which is sufficient to handle a 1024 3 dataset at half- precision floating-point ...
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Multiple-GPU-Based Frequency-Dependent Finite-Difference Time Domain Formulation Using MATLAB Parallel Computing Toolbox
... a computing environment and programming language with millions of users in industry and academia due to its ease of operation and accessibility of ...data. GPU computing has been supported in MATLAB ...
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Bandwidth Requirements of GPU Architectures
... in GPU development, it is necessary to have an understanding of the nature of graphics applica- ...purpose computing (often referred to as general-purpose GPU computing, or GPGPU) due to the ...
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SCHEDULING ALGORITHM FOR CPU/GPU NODE IN DISTRIBUTED COMPUTING
... The idea of using historical data for heterogeneous scheduling decisions has been discussed in other work, although very few have targeted GPU computing. Several researchers have proposed using performance ...
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Sentiment Analysis Using Parallel Computing Through GPU
... parallel computing known as GPU ...parallel computing and especially GPU ...parallel computing in the GPU, that is the problem which divided into several independent ...
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Markov chain Monte Carlo on the GPU
... the GPU computing architecture. This also allows the GPU to distribute an entire stream out to all of its stream processors at once since it has to synchronize any data dependencies in the stream[7, ...
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Parallel Computing of Discrete Element Method on GPU
... performance computing on GPU in scien- tific and industrial fields has attracted much ...since GPU obtains high computational performance by em- ploying special hardware architectures and control ...
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Green Computing using GPU in Image Processing
... parallel computing, which are increasingly targeting for general-purpose computing ...modern GPU is not only a powerful graphics engine but also a highly parallel programmable processor featuring ...
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Framework for Genome Assembly on GPU: A Proposal
... The paper proposes a new framework that attempts to fasten the genome assembly process by parallelizing the complete methodology. It starts with dividing the input FASTA file, that contains reads to be sequenced and ...
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Optimizing MAKWA on GPU and CPU
... and GPU are roughly on par when it comes to optimizing attacks on M AKWA (by “on par” I mean that neither is more than twice as efficient as the other), the GPU appears to have, right now, the ...the ...
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GPU Programming using NVIDIA CUDA
... a GPU instead of a CPU. It explored the memory model of the GPU and explained the fundamental differences between a CPU and a ...heterogeneous computing and the steps necessary to run a CUDA ...
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GPU Memory Architecture Optimization.
... In this paper, we propose a simple yet effective performance model to estimate the number of cache hits and reservation failures due to cache-miss-related resource congestion as a function of the number of ...
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gcn.MOPS: Accelerating cn.MOPS with GPU
... These performance levels are achieved by applying various optimization techniques to make the core algorithm fit the GPU architecture. Data access patterns are changed to ensure coa- lesced memory accesses. This ...
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