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matrixMul
- 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 increa
matrixMul
- Nvidia GPU实现的矩阵相乘的并行算法程序，对学习CUDA技术的初学者有很强的借鉴作用-Nvidia GPU implementation of parallel matrix multiplication algorithm program for beginners to learn CUDA technology, have a strong reference
add
- CUDA 编写的 基于c的矩阵相加，适合初学者参考-CUDA prepared a matrix based on the sum c
array_mul
- 基于CUDA的高维矩阵运算1，计算机本科毕业设计-CUDA-based operator of high-dimensional matrix 1, a computer graduate design
MatrixMul
- 基于CUDA的高维矩阵运算4，计算机毕业设计-CUDA-based operator of high-dimensional matrix 4, the design of computer graduates
matrixTimes
- 基于CUDA的高维矩阵运算5，计算机毕业设计-CUDA-based operator of high-dimensional matrix of 5, graduated from the design of computer
transpose
- cuda code for matrix transpose
CUDAMatrixMultiplication
- 基于CUDA架构的矩阵乘法，得出GPU运算时钟周期。-CUDA architecture based on matrix multiplication, obtained GPU computing cycles.
Transpose
- 矩阵转置的GPU实现，一个简单的GPU例子。希望对cuda初学者有用。-Matrix transpose of the GPU implementation, a simple GPU example. Hope cuda be useful for beginners.
MatrixMultiply
- 在cuda上实现矩阵相乘,给出了相乘的算法，并进行了分析-Matrix Multiply in the cuda
VectorAdd
- 矢量与矢量，矢量与矩阵，矩阵与矩阵的相加，用cuda的并行算法实现。-Vector and Vector, vector and matrix, Matrix and added together, the parallel algorithm using cuda.
transposeDiagonal
- 矩阵的转置，使用GPU并行运算的cuda实现，同时考虑了partition conflict。-A matrix, the use of parallel computing cuda GPU implementation, taking into account the partition conflict.
matirx-muliplication
- 矩阵相乘，基于CUDA用并行算法实现矩阵的乘法-matrix muliplication with parallel algorithm implication matrix muliplication base on CUDA
GPU-CUDA001
- 文章介绍如何使用CUDA实现神经网络，并把他应用在GPU图像处理单元上。 -An Artificial Neural Network is an information processing method that was inspired by the way biological nervous systems function, such as the brain, to process information. It is composed of a large number of
Matrix_Mul_limited
- Cuda简单的矩阵乘法程序，用于cuda初学者参考用-Cuda simple matrix multiplication program for beginners reference cuda
CUDA_test2
- 一个已经编译并成功运行的CUDA小例程，里面含有三个小函数：Hello CUDA！、修改矩阵、矩阵块加-A little program based on CUDA，including three little functions，like Hello CUDA！、changing matrix、plus between two matrixs
cuda-matrixmul--reverse
- cuda并行计算 两基于vs实现的.cu代码 简单的实现矩阵相乘和反转。-Cuda parallel computing based on vs. Two cu code simple implementation of matrix multiplication and inversion
BMM
- Block Matrix Multiply on GPU
cuda_code
- 利用GPU的多线程，借助cuda实现给定矩阵的求逆代码(calculate the inverse of a given matrix with cuda implementation)
pycuda-2017.1.1.tar
- 矩阵相乘的并行运算的算法，运算效率可以轻松提高近100倍。是进行人工智能研究及深度学习先关研究的必备并行算法。(The algorithm of parallel operation of matrix multiplication can easily increase the operation efficiency by nearly 100 times. It is a necessary parallel algorithm for the study of artificial in