最新版本
- Add LU inversion functions: PLASMA_zgetri, PLASMA_zgetri_Tile and PLASMA_zgetri_Tile_Async using the recursive parallel panel implementation of LU factorization.
- The householder reduction trees for QR and LQ factorizations can now work on general cases and not only on matrices with M multiple of MB.
- Matrices generation has been changed in every timing, testing and example files to use a parallel initialization generating a better distribution of the data on the architecture, especially for Tile interface. “numactl” is not required anymore.
- Timing routines can now generate DAGs with the --dag option, and traces with --trace option if EZTRACE is present.
Purpose of PLASMA（来自于软件包的readme）
The main purpose of PLASMA is to address the performance shortcomings
of the [2]LAPACK and [3]ScaLAPACK libraries on multicore processors and
multi-socket systems of multicore processors and their inability to
efficiently utilize accelerators such as Graphics Processing Units
(GPUs). PLASMA provides routines to solve dense general systems of
linear equations, symmetric positive definite systems of linear
equations and linear least squares problems, using LU, Cholesky, QR and
LQ factorizations. Real arithmetic and complex arithmetic are supported
in both single precision and double precision.
PLASMA has been designed to supercede LAPACK and ScaLAPACK, principally
by restructuring the software to achieve much greater efficiency, where
possible, on modern computers based on multicore processors. PLASMA
also relies on new or improved algorithms. Currently, however, PLASMA
does not serve as a complete replacement of LAPACK due to limited
functionality. Specifically, PLASMA does not support band matrices and
does not solve eigenvalue and singular value problems. Also, PLASMA
does not replace ScaLAPACK as software for distributed memory
computers, since it only supports shared-memory machines
PLASMA的安装
1准备阶段
安装BLAS
安装CBLAS
安装LAPACK
2修改make.inc
进行编译
3测试
timing.c是时间和flops函数
问题：
1测试plasma时候怎么把blas设置为1？