资源列表
cuda+mpi
- 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)
元胞机说明文档加附带程序
- 元胞机原理说明，附带流体实现代码，代码一行一行讲解.(Cellular machine principle descr iption, with fluid realization code, the code line by line explanation)
mult88
- 两个8*8矩阵相乘，每个矩阵内部元素相同，简化运算；modelsim编译仿真，ise或vivado下载，实现FPGA显示。(Two 8*8 matrix multiplication, each element of the same matrix, simplifying the operation; Modelsim compiler simulation, ISE or vivado download, to achieve FPGA display.)
CUDA-Image-Encryption-master
- 利用CUDA进行并行图像加密 程序需要安装cuda 配合 VS方可运行(Using CUDA for parallel image encryption program needs to install CUDA and VS to run)
CUDA SPMV
- 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
PipeCNN-master
- 关于caffe的流水线性的加速，利用xilinx的SDAccel开发工具进行fpga加速(On the linear acceleration of the flow of Caffe, using the SDAccel development tool of Xilinx to accelerate the FPGA acceleration)
MATLAB
- 对于时间序列数据进行mk趋势分析和相关检验(MK trend analysis and correlation test for time series data.)
CNT
- 产生用于lammps计算的碳纳米管data文件(Generate the data file used for lammps computations)
pradiso
- 利用Fortran中自带的Pardiso库函数解决稀疏矩阵，其利用ＣＳＲ格式储存数据（附带例子）(The Pardiso library function in Fortran is used to solve the sparse matrix, which stores data in CSR format (with examples))
MEIGA
- EGO算法的实现，采用遗传算法及kriging代理模型，进行经典案例的实现优化求解(EGO optimization GA optimization kriging surrogate models good examples)
code
- 平行计算课程，并行程序转置矩阵，使用3种方法：线性转置，块棋盘划分，直角划分法(Parallel computing course, parallel program transpose matrix, using three methods: linear transpose, block chessboard division, right angle division)
二维弹性波FWI源码和可执行程序2
- 实现单GPU二维弹性波全波形反演，采用c++和CUDA c编写，VS2013开发。(2D elastic Full waveform Inversion using a single GPU card, based on C++/CUDA c language, developed by VS2013.)