MPI Learning Records

1. MPI Tutorial
   2014/1/7完成代码实现部分

2. MPI编译环境的使用

1. 编程提高(代码产出):
   http://www.mcs.anl.gov/research/projects/mpi/tutorial/mpiexmpl/contents.html
   http://www.mcs.anl.gov/research/projects/mpi/tutorial/mpiexmpl/advanced.html
   暂时不考虑学习

1. Message Passing Interface (MPI) Author: Blaise Barney, Lawrence Livermore National Laboratory
   非常不错的入门. 2014/1/7完成阅读

1. Tutorial material on MPI available on the Web
   网上的入门材料汇总
2. MPI Exercises
   极好的练习题. 2014/1/7 完成练习题的解读. 下一步应该找个算法自己动手实现下.
   该课程的完整连接

极好的MPI练习题

1. MPI Hands-On Exercises
2. Training OpenMP

分布式机器学习算法by MPI

1. K-means 实现
   1. Parallel K-Means Data Clustering
      1. view on github
   2. Parallel-K-Means-MPI-C
2. Pagerank实现
   2014/1/19完成. view on github
3. LDA 实现
4. The Netflix Prize:Alternating Least Squares in MPI]
5. MPI example for alternating direction method of multipliers
   slides
   Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Lapacke和CBLAS的安装和使用

安装Lapacke时出现错误:

gfortran: error: ../../librefblas.a: No such file or directory
make[1]: *** [../xblat1s] Error 1
make[1]: Leaving directory `/home/onlyme/Downloads/lapack/BLAS/TESTING'
make: *** [blas_testing] Error 2

解决方法:

1. make blaslib #先编译blaslib
2. make lapacke #再编译lapacke
3. make lapacke_example #检查lapacke是否安装成功
4. compile with:g++ als_chow.cpp -llapack -lblas -o als

参考

lapacke和CBLAS学习小记(1)
stackoverflow: Understanding LAPACK calls in C++ with a simple example
Calling BLAS Functions that Return the Complex Values in C/C++ Code