[PDF] Top 20 AN EVOLUTIONARY APPROACH TO PARALLEL COMPUTING USING GPU
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AN EVOLUTIONARY APPROACH TO PARALLEL COMPUTING USING GPU
... Our approach is similar to the previous work in that share memory parallelism, specified by work-sharing constructs, is exploited to distribute work among participating threads or processes, and share memory data ... See full document
8
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 ... See full document
8
Sentiment Analysis Using Parallel Computing Through GPU
... faster using massive parallel ...for parallel computing known as GPU ...understand parallel computing and especially GPU ...massive parallel architecture. In ... See full document
8
PARALLEL COMPUTING IMPLEMENTATION USING GPU
... CPU parallel computing to GPU parallel computing converter to extend the ease of creating parallel applications with share memory programming to GPU ...and GPU ... See full document
11
Parallel Computing of Discrete Element Method on GPU
... purpose computing on GPU for scientific computing has been rapidly growing in recent ...of GPU to discrete element method (DEM) often used in particle motion ...The computing speed of ... See full document
6
Parallel centerline extraction on the GPU
... efficiently computing centerlines with the desired accuracy has been a major ...accurate parallel centerline algorithm that can take advantage of modern many-core parallel computing resources, ... See full document
13
Node Based Parallel Game Tree Search Algorithm Using Accelerated GPU
... for parallel computation and also programming model created by NVIDIA and implemented by the ...for parallel work it offers direct access of memory and virtual instruction set to the ...from GPU ... See full document
8
SCSI: Platforms & Foundations: Cyberinfrastructure
... • Traditional Supercomputers TeraGrid and DEISA for large scale parallel computing – mainly simulations – Likely to offer major GPU enhanced systems • Traditional Grids for handling dist[r] ... See full document
26
GPU Computing and Its Applications
... mainstream computing system. GPU-accelerated computing is defined as the use of a graphics processing unit (GPU) together with a CPU (central processing ...Performance Computing (HPC) ... See full document
5
Gpu Based Parallel Tlbo and Parallel Jaya For Multiple Sequence Alignment Using Mapreduce (Gpu Ptlbo & Gpu Pjaya)
... with GPU-PTLBO and GPU-PJAYA with ...based parallel algorithms for MSA using recent algorithmic parameter free evolutionary algorithms Teaching Learning Based Optimization and JAYA ... See full document
10
Cloud Technologies and Data Intensive Applications
... • Traditional Supercomputers TeraGrid and DEISA for large scale parallel computing – mainly simulations – Likely to offer major GPU enhanced systems • Traditional Grids for handling dist[r] ... See full document
48
Developing a multiscale, multi-resolution agent-based brain tumor model by graphics processing units
... MABM approach employs a system of ordinary differential equations to describe quantitatively specific intracellular molecular pathways that determine phenotypic switches among cells ...(GPU)-based ... See full document
17
Green Computing using GPU in Image Processing
... highly 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 ... See full document
6
Performance Analysis of GPU V/S CPU for Image Processing Applications
... that GPU is appropriate for processinglarge-scale data-parallel load of high-density ...a parallel computing architecture established by ...on GPU which is a programming interface to ... See full document
9
A Parallel Recursive Approach for Solving All Pairs Shortest Path Problem on GPU using OpenCL
... problem using Floyd-Warshall (FW) yet there is large scope in enhancing its ...performance. Using Johnson’s algorithm, we can find all pair shortest paths in О ...into GPU computing [22] and a ... See full document
7
Load Balancing & Task Scheduling Algorithms in Parallel Computing Environment: A Review
... based approach has a benefit of the evolutionary algorithmic rule ...all parallel jobs running on a cluster and scale back the typical response time of the ... See full document
13
How Ties to Professional Support Networks Impact Social Outcomes among Homeless Youth
... optimization approach to eliminate hot-spot nodes while minimiz- ing reconfiguration costs, and 2) a divide and conquer technique to break down expensive computations to provide ... See full document
149
Various String Matching Algorithms for DNA Sequences to Detect Breast Cancer using CUDA Processors
... Today, medical imaging systems using NVIDIA GPUs give doctors and patients more accurate results and faster diagnoses than have been possible with traditional scanning systems. As a result, our technologies are ... See full document
6
MDI GPU : accelerating integrative modelling for genomic scale data using GP GPU computing
... MDI is motivated by the desire to separate the items within datasets into statisti- cally distinct clusters while exploiting any latent structure in cluster allocations across datasets. A flexible Bayesian mixture ... See full document
6
Building the vertebrate heart an evolutionary approach to cardiac development
... an evolutionary relationship existing between the heart-glomerulus connection in vertebrates and the peculiar heart-kidney complex of hemichordates, the deuterostome phylum phylogenetically closest to the ... See full document
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