高性能计算

scalapack功能 结构分析

2009年7月29日 阅读(57)

1.话说scalapck还是可以运行在异构平台上的,虽然效率目前未知,但是设计时有考虑这个异构的问题,证据如下
http://netlib.org/scalapack/scalapack_install.pdf 其中的2.4 Run the PBLAS Test Suite
Testing instructions with MPICH on a network of workstations
Then, to run the executable, you will use the command mpirun. For example,
      mpirun -np <number of processes> <executable>
    where <executable> is replaced by xspblas1tst, and so on. If the network of work-
stations is heterogeneous, you will need to specify the -p4pg option and supply a text file
containing the names of the machines and the locations of the executables to which you will
spawn tasks. Refer to the mpirun manpage for complete details.

2.运行scalapack测试程序
mpirun 与mpiexec是不同的,使用mpiexec可以在一个机器上运行多个进程,mpirun则失败
duanple@duanple-desktop:~$ mpirun -n 2 ./xclu
totalnum=2  numhosts=1
there are not enough hosts on which to start all processes
duanple@duanple-desktop:~$ mpiexec -n 2 ./xclu
ScaLAPACK Ax=b by LU factorization.
‘MPI Machine’                                                                 

Tests of the parallel complex single precision LU factorization and solve.
The following scaled residual checks will be computed:
 Solve residual  

3.scalapack移植到cell平台
如果单纯的交叉编译,可以很容易的把blas编译成功,但如果要编译lapack,因为它要运行一些文件比如
/bin/sh: ./testlsame:无法执行二进制文件
/bin/sh: ./testslamch:无法执行二进制文件
进行测试,就不太容易了。所以需要直接早cell平台上编译好lapack scalapack,然后拷贝到intel的集成开发工具里供使用。
mpi也是如此,单纯的链接库可以,但是针对cell的mpirun是无法在intel上运行的。

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