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16X16led
- 1. LED的显示原理： 16×16扫描LED点阵的工作原理同8位扫描数码管类似。它有16个共阴极输出端口,每个共阴极对应有16个LED显示灯，所以其扫描译码地址需4位信号线（sel0-sel3），其汉字扫描码由16位段地址（l0-l15）输入。 通过时钟的每列扫描显示完整汉字。 2. 本试验实现输出“欢迎光临”四个汉字，采用两种格式输出：（1）依次从右向左连续输出；（2）单个汉字从上及下刷新输出。 -1. LED display Principle: 16 × 16 dot mat
serial_dot
- mpi serial dot parallel
Produto_Escalar_vs01
- This a Parallel Code to calculate a Dot Product using MPI library and C++. This is a .Net2010 Project. To emulate a parallel computer in your machine you need install a MPICH2 library for windows. This code works too Linux.
basic_cuda
- 用CUDA进行点积运算，涉及最基础的cuda结构-Involving the cuda structure of the most basic dot product operation with CUDA
Muliticore
- 在Linux/Windows平台上实现单精度浮点的矩阵乘法，在Linux/Windows平台上用多线程方法实现浮点向量的点积计算，多核的经典入门必学算法-In Linux/Windows platform to achieve single-precision floating-point matrix multiplication, in Linux/Windows platform using multi-threading methods to achieve floating point
xiangliang
- 多线程编程，解决向量点积问题，有助于学习多核。-Multi-threaded programming, problem solving vector dot product, contribute to learning multicore.
dot_product
- 利用C++进行MPI并行程序的编程，实现点积计算 例如： 输入； X = 1 2 3 输入： Y = 3 4 6 输出： The dot product is 29.-Use MPI to have a dotproduct
source-code
- 点阵字库解析源码source code( c 语言 ),配合fontmaker使用-Dot matrix font parsing source code source code (c language), with fontmaker use
VectMultVect
- TMS320C6678 复向量相乘源代码，TMS320C6678是TI公司推出的一款8核DSP，具有强大的并行处理能力，复向量点乘使用汇编语言编写，顶层使用C语言调用，书写简单，方便调用-TMS320C6678 complex vector multiplication source code, TMS320C6678 is TI has introduced an 8-core DSP, a powerful parallel processing capabilities, complex
dot_product
- 使用CUDA语言实现向量的点乘，可以大幅度提高点乘的速度，是CUDA语言的入门程序-Using CUDA language vector dot product, can greatly improve the speed of the dot is CUDA language entry program
assignments
- A series of programs which demonstrate the progression for a serial dot product code to a hybrid MPI/Pthreads implementation. Files include the serial version, Pthreads version, MPI version, hybrid version and a makefile.-A series of programs which
dot
- CUDA并行计算向量点积，是GPU高性能计算的代码-CUDA parallel computing vector dot product, is the code GPU High Performance Computing