搜索资源列表
GotoBLAS.传说中最快的数值计算包
- 传说中最快的数值计算包。据说比Intel MKL还快。很多源码都采用了汇编编写,Legend of the numerical calculation of the fastest package. Reportedly faster than the Intel MKL. A lot of compilation of source code has been adopted to prepare
rtklib_2.4.1 卫星数据解算的程序
- rtklib 版本2.4.1 An Open Source Program Package for GNSS Positioning 日本开源网站上提供的关于卫星数据解算的程序。All of the executable binary APs for Windows are included in the package as well as whole source programs of the library and the APs. * For real-time PP
mkltest
- 利用intel的矩阵运算库mkl实现矩阵的运算，利用vc2008实现。-Use of intel mkl library implementation matrix operation matrix operation, using vc2008 achieved.
hyperspectral
- Field: Digital Image Processing i)Reading Hyperspectral Images ii) Reshaping the input images ii) Singular value decomposition using C , Intel OpenCV and Intel MKL
MKL_Overview
- 利用Intel MKL实现矩阵相乘的几个程序；另外一个是MonteCarlo方法的用多线程计算Pi的程序-Matrix multiplication based on Intel MKL library.
Intel-MKL
- intel mkl introduction ppt
pardiso_unsym_c
- 利用Intel mkl求解线性方程组的例子，其中调用了pardiso函数，特别适合快速求解稀疏线性方程组-Intel MKL for solving linear equations with examples, which calls pardiso function, particularly suitable for fast sparse linear equations
Viterbi_Tst
- 这是用itpp库编写的卷积码的解码程序。由于用C++库和Intel的MKL库，所以速度飞快。同样的仿真点数， Matlab2012下用了15分半钟，而这个程序仿真只用了半分钟，相当于是matlab速度的30多倍。-This is itpp prepared for the convolutional code decoding process. Because with C++ libraries and Intel' s MKL library, so fast. The same
miniFE-2.0_cuda
- 这是intel的一个开源程序，里面用到intel的mkl算法，还有用到nvidia的cuda并行计算-This is an open source intel, which used the intel mkl algorithm, as well as use the nvidia cuda parallel computing
armadillo-6.400.3.tar
- 高质量的线性代数库,在计算速度和易用性方面有着较好的平衡。-Armadillo is a high quality C++ linear algebra library, aiming towards a good balance between speed and ease of use. It s useful for algorithm development directly in C++, and/or quick conversion of research code i
mklref
- Intel MKL 2017 reference
examples_core_f
- MKL库使用案例，包含了常用的数值计算的函数和案例，很好的工程计算入门代码。(MKL library use cases, including the commonly used functions and cases of numerical calculation, good engineering calculation entry code.)
matmul.tar
- 矩阵乘法的多线程并行实现，包括：simple，采用openmp对索引顺序ijk（一般写法）的循环实现并行；opt，采用openmp对索引顺序ikj（向量化友好）的循环实现并行；mkl，调用高性能数学库实现矩阵乘法。(Multi-thread parallelization of matrix-matrix multiplication: "simple" case, ijk loop (usual pattern); "opt" case, ikj (ve
pardiso
- Intel MKL库自带大规模稀疏矩阵求解器(Large-scale sparse matrix solver by Intel MKL library)