blas

问题 An algorithm I'm working on requires computing, in a couple places, a type of matrix triple product. The operation takes three square matrices with identical dimensions, and produces a 3-index tensor. Labeling the operands A , B and C , the (i,j,k) -th element of the result is X[i,j,k] = \sum_a A[i,a] B[a,j] C[k,a] In numpy, you can compute this with einsum('ia,aj,ka->ijk', A, B, C) . Questions: Does this operation have a standard name? Can I compute this with a single BLAS call? Are there

问题 While building GotoBlas2 on my x86_64 by using the default make file, I encounter the following build error: gcc -O2 -DEXPRECISION -m128bit-long-double -Wall -m64 -DF_INTERFACE_GFORT -fPIC -DSMP_SERVER -DMAX_CPU_NUMBER=8 -DASMNAME= -DASMFNAME=_ -DNAME=_ -DCNAME= -DCHAR_NAME=\"_\" -DCHAR_CNAME=\"\" -I.. -w -o linktest linktest.c ../libgoto2_nehalemp-r1.13.so -L/usr/lib64/gcc/x86_64-suse-linux/4.7 -L/usr/lib64/gcc/x86_64-suse-linux/4.7/../../../../lib64 -L/lib/../lib64 -L/usr/lib/../lib64 -L

问题 While building GotoBlas2 on my x86_64 by using the default make file, I encounter the following build error: gcc -O2 -DEXPRECISION -m128bit-long-double -Wall -m64 -DF_INTERFACE_GFORT -fPIC -DSMP_SERVER -DMAX_CPU_NUMBER=8 -DASMNAME= -DASMFNAME=_ -DNAME=_ -DCNAME= -DCHAR_NAME=\"_\" -DCHAR_CNAME=\"\" -I.. -w -o linktest linktest.c ../libgoto2_nehalemp-r1.13.so -L/usr/lib64/gcc/x86_64-suse-linux/4.7 -L/usr/lib64/gcc/x86_64-suse-linux/4.7/../../../../lib64 -L/lib/../lib64 -L/usr/lib/../lib64 -L

问题 Background: I am working on a project written in a mix of C and Fortran 77 and now need to link the LAPACK/BLAS libraries to the project (all in a Linux environment). The LAPACK in question is version 3.2.1 (including BLAS) from netlib.org. The libraries were compiled using the top level Makefile (make lapacklib and make blaslib). Problem: During linking, error messages claimed that certain (not all) BLAS-routines called from LAPACK-routines were undefined. This gave me some headache but the

问题 Background: I am working on a project written in a mix of C and Fortran 77 and now need to link the LAPACK/BLAS libraries to the project (all in a Linux environment). The LAPACK in question is version 3.2.1 (including BLAS) from netlib.org. The libraries were compiled using the top level Makefile (make lapacklib and make blaslib). Problem: During linking, error messages claimed that certain (not all) BLAS-routines called from LAPACK-routines were undefined. This gave me some headache but the

问题 According to the Enthought website, the EPD Python distribution uses MKL for numpy and scipy. Does EPD Free also use MKL? If not does it use another library for BLAS/LAPACK? I am using EPD Free 7.3-2 Also, what library does the windows binary installer for numpy that can be found on scipy.org use? 回答1: The EPD Free 7.3 installers do not include MKL. The BLAS/LAPACK libraries which they use are ATLAS on Linux & Windows and Accelerate on OSX. 回答2: According to this table, EPD Free 7.3 does not

问题 I've seen this: https://github.com/android/platform_frameworks_support/commit/35ef270f319aeac81d562897c480b507102dc9ae And so I'm wondering when this will be available to the external 3rd party developers for general usage. Any info would be greatly appreciated. Thanks! Anthony 回答1: It is already part of the M preview and will be in the forthcoming M SDK. 来源： https://stackoverflow.com/questions/31620728/renderscript-implementation-of-blas

问题 I am looking for a library for dealing with sparse matrices in fortran 90/95. I only need very basic operations like matrix-vector multiplication. What do you suggest I use? I have searched around and an extension(?) to BLAS called "sparse blas", documented in chapter 3 of the blast technical forum specification: http://www.netlib.org/blas/blast-forum/, seems ideal. According to that document, there should be a fortran 95 interface to the library. However, I haven't been able to find an

问题 I'm getting the following error and i'm not sure why. { 1, 1}: On entry to PDPOTRF parameter number 2 had an illegal value { 1, 0}: On entry to PDPOTRF parameter number 2 had an illegal value { 0, 1}: On entry to PDPOTRF parameter number 2 had an illegal value { 0, 0}: On entry to PDPOTRF parameter number 2 had an illegal value info < 0: If the i-th argument is an array and the j-entry had an illegal value, then INFO = -(i*100+j), if the i-th argument is a scalar and had an illegal value,

问题 The Armadillo C++ linear algebra library documentation states one of the reasons for developing the library in C++ to be "ease of parallelisation via OpenMP present in modern C++ compilers", but the Armadillo code does not use OpenMP. How can I gain the benefits of parallelisation with Armadillo? Is this achieved by using one of the high-speed LAPACK and BLAS replacements? My platform is Linux, Intel processor but I suspect there is a generic answer to this question. 回答1: Okay so it appears