ParallelComputingwithMATLAB

基于FPGA的深度学习加速器设计与实现，帮助你增加对深度学习的理解，而且作为中文，很适合国内学者。(Design and implementation of deep learning accelerator based on FPGA)

fluent udf 实现动态边界条件 并行及串行程序(parallel and series udf based on facets loop)

H.264编解码的CUDA实现，并行加速算法，内部实现了H.264视频编解码的CUDA实现，能够编译通过，已经过测试，并且还添加了注释信息。

使用CUDA并行语言编写的矩阵乘法，与串行语句的对比试验，主要检测出CPU与GPU运行的时间，通过比较时间，达到比较效果。另外此程序可以随意更改矩阵的维数，增强程序的移植性。(CUDA parallel language use matrix multiplication, and serial statement comparison test, the main test of CPU and GPU to run time, by comparing the time, to compare results. Also this program can change the dimension of the matrix, and enhanced portability of the program.)

cuda资料，对于并行编程很有帮助！该资料描述了cuda的基本信息，以及重要的步骤，让您逐渐上手，轻松掌握cuda并行编程。(cuda information useful for parallel programming! The information describes the cuda s basic information, as well as an important step, so that gradually you get started, easy to master parallel programming cuda.)

多核编程，比 OPENCL 简单 可以通过类似 OPENMP 的方式，简洁的实现异构编程，使用 GPU 计算(Multicore programming than simple OPENCL)

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说明：  插值算法和拟合的matlab程序，很有用的!(Interpolation algorithm and matlab fitting procedures, very useful!)

用Excel计算突变检验，以及突变检验原理，比较详细。(sing Excel to calculate the mutation test)

基于fpga的矩阵求逆运算，适用xilinx v6板卡(Inverse operation based on fpga matrix)