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This MEX performs 2d bilinear interpolation using an NVIDIA graphics chipset. To compile and run this software, one needs the NVIDIA CUDA Toolkit (http://www.nvidia.com/object/cuda_get.html) and, of course, an NVIDIA graphics card of reasonably modern vintage. BUILDING INSTRUCTIONS: Change the 'MATLAB' (and if necessary, 'MEX') variables in the Makefile to appropriate values, then simply run 'make' at a prompt and an executable (mex/mexmac/mexmaci/dll?) file will be created. This code uses your GPU's built-in bilinear texture interpolation capability, and is very fast. For reasonably sized operations (taking, say, a 50x50 matrix up to 1000x1000) CUDA-based code is 5-10x faster than linear interp2 (as tested on a MBP 2.4GHz C2D, GeForce 8600M GT). With very (VERY) large matrices, however, it has the capability of completely crashing your computer or giving bizarre results. Be careful!
Date : 2010-09-10 Size : 36.99kb User : whitewalter

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基于最新一代通用GPU--Geforce8800,在CUDA平台上开发的矩阵乘法的例子,比CPU版本性能有非常大的提高。保留了可执行程序-based on the latest generation of common GPU-- Geforce8800. CUDA platform in the development of the matrix multiplication example, than CPU performance version of a very big increase. Retained the executable
Date : 2025-07-06 Size : 1.5mb User : 白洪涛

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采用GPU通用计算API(CUDA)实现矩阵相乘。-The use of general-purpose GPU computing API (CUDA) to achieve the matrix multiplication.
Date : 2025-07-06 Size : 15kb User : lry

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cuda开发环境下的矩阵运算,cuda sdk中的内容,矩阵运算充分显示了并行编程的优势,对于学习cuda编程有着很好的借鉴作用-matrix operations in parallel with cuda platform
Date : 2025-07-06 Size : 1.39mb User : 陈思远

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cuda平台开发的矩阵变换并行操作(Matrix transpose),属于cuda sdk中的内容-Small Matrix transpose with Cuda (Example for a 16x16 matrix)
Date : 2025-07-06 Size : 9kb User : 陈思远

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cuda Faster Matrix-Vector Multiplication on GeForce 8800GTX
Date : 2025-07-06 Size : 1kb User : bertrand

基于CUDA的高维矩阵运算3,计算机毕业设计-CUDA-based operator of high-dimensional matrix 3, the design of computer graduates
Date : 2025-07-06 Size : 400kb User : 范吴斌

CUDA matrix multiplication 3 different optimization schemes are included (loop unrolling, data prefetching, thread granularity)
Date : 2025-07-06 Size : 15kb User : mghs

a cuda program for parallel multiplication of matrix
Date : 2025-07-06 Size : 1.52mb User : teena

CUDA Fast matrix multiplication and with shared memory.
Date : 2025-07-06 Size : 732kb User : Nikolay

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Program for mult matrix with CUDA
Date : 2025-07-06 Size : 10kb User : Elena

an example of matrix multipication on cuda GPU
Date : 2025-07-06 Size : 2kb User : aviad

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cuda 矩阵运算程序,cuda上实现两个矩阵相乘-cuda matrix multi
Date : 2025-07-06 Size : 8kb User : test

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包括矩阵相乘,转置,快速傅里叶变换,多GPU编程等23个实例-Including matrix multiplication, transposition, fast Fourier transform, multi-GPU programming in 23 instances
Date : 2025-07-06 Size : 4.68mb User : weidong

cuda矩阵乘法的源代码。(注:需要cuda平台)-cuda matrix multiplication of the source code. (Note: the need for cuda platform)
Date : 2025-07-06 Size : 783kb User : zhangzinan

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并行计算中矩阵相乘的mpi和cuda两种方法,已完成检验,有结果输出(In parallel computing, two methods of matrix multiplication, MPI and CUDA, have been tested and output with results)
Date : 2025-07-06 Size : 1kb User : 张艾可

Matrix multiply on cuda GPU
Date : 2025-07-06 Size : 12kb User : mahmoudk

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稀疏矩阵向量乘法(Sparse Matrix-Vector Multiplication, SpMV)在许多科学计算程序中都有广泛的应用。数据矩阵A 是稀疏的,输入向量x 和输出向量y是稠密的。 y = Ax(Sparse Matrix-Vector Multiplication (SpMV) is widely used in many scientific computing programs. The data matrix A is sparse, the input vector x and the output vector y are dense. y = Ax)
Date : 2025-07-06 Size : 21kb User : 甄文明

利用cuda完成GPU编程,实现对给定矩阵的求逆操作(a cuda code for calculating a inverse matrix of a given matrix)
Date : 2025-07-06 Size : 5.57mb User : 呆呆呆张

结合GPU高性能编程,提供实战样例程序,包含矩阵乘法,原子操作,热传导,多GPU,多流的代码(Combined with GPU high performance programming, it provides actual sample program, including matrix multiplication, atomic operation, heat conduction, multi GPU, and multi stream code.)
Date : 2025-07-06 Size : 298kb User : zjujie
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