[PDF] Top 20 GPU Programming using NVIDIA CUDA
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GPU Programming using NVIDIA CUDA
... CPUs like, say, the Intel Core 2 Duo are good at doing a few tasks concurrently (usually two or three) very quickly. Graphics cards or GPUs are good at doing a massive number of tasks at the same time and doing them very ... See full document
6
GPU acceleration of object classification algorithms using NVIDIA CUDA
... parallel programming of heterogeneous systems. OpenCL supports not only GPU programming but also a diverse mix of multi-core CPUs, GPUs, Cell-type architectures and other parallel processors such as ... See full document
94
Accelerate Execution of CUDA Programs for Non GPU Users Using GPU in the Cloud
... fashion using programming languages like c, c++, c#, java ...computation using parallel ...parallel. CUDA programming is the extension of the ANSI ...& GPU. CUDA ... See full document
5
New Approach for Graph Algorithms on GPU using CUDA
... Figure 9 shows comparison of parallel edge based Dijkstra’s algorithm with corresponding sequential implementation on NVIDIA Tesla Graphic Card as depicted in Experimental Setup 2. As can be seen from Figure 9, ... See full document
5
Opticks : GPU Optical Photon Simulation for Particle Physics using NVIDIA® OptiXTM
... for NVIDIA GPUs that exposes an accessible single ray programming ...provided CUDA code for ray generation, object in- tersection and closest hit ... See full document
8
GPU constructed image segmentation using first order edge detection operators in CUDA environment
... the GPU in contrast to the substantial computations required in processing of the ...The GPU has long been utilized to quicken 3D ...interfaces, programming to the GPU is simplified and is ... See full document
9
New Approach of Bellman Ford Algorithm on GPU using Compute Unified Design Architecture (CUDA)
... over GPU. GPU provides an application programming interface named as ...CUDA. CUDA is a general purpose parallel programming architecture which was introduced by ... See full document
5
Volume ray casting techniques and applications using general purpose computations on graphics processing units
... by NVIDIA, claims modern NVIDIA GPUs has a GFLOP/s peak approximately 10x greater than Intel ...by NVIDIA. As discussed in section 7.1, the CUDA implementation is capable of achieving a 40x or ... See full document
140
Study of Parallel Image Processing with the Implementation of vHGW Algorithm using CUDA on NVIDIA’S GPU Framework
... that CUDA facilitates efficient penalization of image processing techniques executed on ...the CUDA code on GPU 860 ...of CUDA on GPUs compared with the speed up gain obtained by ...of ... See full document
6
Presentation of a Parallel Algorithm for Nearest Neighbor Search on GPU Using CUDA
... 2006, Nvidia introduced CUDA (Compute Unified Device Architecture), is a general purpose parallel computing architecture and provides opportunity for developers that their C language programs run on ... See full document
5
cudac-intro
... Hello world Skeleton program Simple program Vector addition Pairwise summation Respecting the SIMD paradigm A review: GPU parallelism and CUDA architecture.. Introduction to programming [r] ... See full document
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Accelerating pairwise DNA Sequence Alignment using the CUDA compatible GPU
... Dynamic programming solution presented by Smith Waterman ...uses CUDA; the parallel computing platform and programming model invented by ...match using the GPU Architecture according to ... See full document
7
Performance Analysis of Sobel Edge Detection Filter on GPU using CUDA & OpenGL
... that NVIDIA graphics processing units to solve many complex computational problems in a fraction of the time required on a ...filter using CUDA and OpenGL displays optimal ... See full document
7
Cache Memory Access Patterns in the GPU Architecture
... main GPU architectures that Multi2Sim can simu- late are AMD’s Radeon Southern Islands and NVIDIA’s Kepler GPU ...Both GPU architectures are approximately two generations behind the current in- ... See full document
95
Title: Parallel Implementation of AES Algorithm on GPU
... throughput using OpenGL on an NVIDIA Geforce3 Ti200 (Nvidia ...earlier GPU architecture had an insufficient instruction set for general purpose ...computing. Using Direct X9 (Microsoft ... 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 ...by NVIDIA. CUDA is highly suitable for general purpose programming on GPU which is a ... See full document
9
Airborne radar clutter simulation using GPU (CUDA)
... of GPU and CUDA. Graphic Processor Unit or GPU computing is the use of GPU together with CPU to accelerate general purpose scientific and engineering ...applications. GPU consists of ... See full document
6
A GPU Parallel Finite Volume Method for a 3D Poisson Equation on Arbitrary Geometries
... (6)-(7) using GPU-CUDA. In order to enable CUDA programming directly in Fortran using a GPU, NVIDIA and Portland Group, ...created CUDA Fortran [12]. A ... See full document
9
spmv.pdf
... The CUDA Programming Guide offers several tips for maxi- mizing performance [1]. (1) Maximize the bandwidth from global memory using coalesced loads. (2) The latency from the on-chip shared memory is ... See full document
11
Solving the maximum subsequence sum and related problems using BSP/CGM model and multi-GPU CUDA
... implemented using one GPU and four ...computed using as reference the time spent by the sequential implementa- tion in a host of the computing system were the respective parallel algorithms where ... See full document
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