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dct8x8.rar
- 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
cuda_matrix
- 自编的cuda矩阵例子,主要是矩阵运算,适合初学者-cuda matrix code for new learner
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
matrixAdd
- 基于CUDA的高维矩阵运算2(加运算),计算机毕业设计-CUDA-based operator of high-dimensional matrix of 2 (plus operator), graduated from the design of computer
matrixInverse
- 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
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
matrixmult2
- CUDA Fast matrix multiplication and with shared memory.
MMatrix
- Program for mult matrix with CUDA
CUDA-imization
- CUDA稀疏矩阵与矢量乘法的优化CUDA-based sparse matrix vector multiplication optimization-CUDA-based sparse matrix vector multiplication optimization
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
matrix-
- C++与Cuda结合,用并行来做加速,将普通的稀疏矩阵加减乘用并行来完成。-C++ and Cuda combined with a parallel acceleration to do, the ordinary addition and subtraction by using sparse matrix parallel to complete.
sum
- Sum matrix in parallel on CUDA
spmv_csr
- 稀疏矩阵的DIA/ELLPACK/COO/CSR/HYB表示形式,以及各表示形式下的稀疏矩阵乘法(稀疏大矩阵*矢量)的CUDA实现。对于矩阵中每一行稀疏元素个数较统一的情况,ELLPACK表示最佳,其次是HYB(ELL+COO)。 CUDA™ 是一种由NVIDIA推出的通用并行计算架构,该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构(ISA)以及GPU内部的并行计算引擎。 开发人员现在可以使用C语言来为CUDA™ 架构编写程序-Sparse matri
TestMatMul
- 矩阵乘法的源码实现,并结合cuda进行加速,是最基本的cuda编程代码-matrix multiplication and cuda
JCudaMatrixGPU
- 矩阵计算(并行计算,使用cuda),加入计时器-matrix computation(use parallel computation under cuda), add counter of time