BLAS相当于GPU的LAPACK功能 [英] BLAS equivalent of a LAPACK function for GPUs

问题描述

在LAPACK中，有函数用于对角化

In LAPACK there is this function for diagonalization

  SUBROUTINE DSPGVX( ITYPE, JOBZ, RANGE, UPLO, N, AP, BP, VL, VU,
 $                   IL, IU, ABSTOL, M, W, Z, LDZ, WORK, IWORK,
 $                   IFAIL, INFO )

*

我正在寻找其GPU实施.我正在尝试查找此功能是否已经在CUDA(或OpenCL)中实现，但是仅找到了CULA，它不是开源的.

I am looking for its GPU implementation. I am trying to find whether this function has been already implemented in CUDA (or OpenCL), but have only found CULA, which is not open source.

因此，存在CUBLAS的一面，我想知道如何知道此子例程的BLAS或CUBLAS等效项.

Therefore and side CUBLAS exists, I wonder how could I know whether a BLAS or CUBLAS equivalent of this subroutine is available.

推荐答案

BLAS不包含特征值求解器，CUBLAS在这方面也没有什么不同.UTK开发的 Magma 库包含两个GPU加速的特征值问题例程.我不认为xSPGV已实现，但其他几个都已实现.根据矩阵的特性，可能会使用某些东西.

BLAS doesn't include eigenvalue solvers, and CUBLAS is no different in that regard. The UTK developed Magma library includes a couple of GPU accelerated eigenvalue problem routines. I don't think xSPGV is implemented, but several other are. Depending on the characteristics of your matrix have, there might be something you could use.

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