problem about blas-Collection of common programming errors
madth3
ruby ubuntu-12.04 lapack blas gsl
I have Ubuntu Precise and can’t find in the software repo any lapack or blas. When I run sudo gem install gslI get an error output. I have gsl 1.15. The output is as follows Building native extensions. This could take a while… ERROR: Error installing gsl:ERROR: Failed to build gem native extension./usr/bin/ruby1.8 extconf.rb checking gsl version… 1.15 checking gsl cflags… -I/usr/include checking for main() in -lcblas… no checking gsl libs… -L/usr/lib -lgsl -lgslcblas -lm checking fo
Sean Duggan
c++ ivy gfortran blas build-dependencies
I feel somewhat ridiculous, but I’m trying to import the OpenBLAS libraries into a project. They were built with gfortran as the Fortran compiler. My early builds had no issue just pulling libopenblas.so in, but on another system, it’s choking on libgfortran.so when I try to run our program, which doesn’t exist there. My impression has been that this is a standard library on most, if not all, Linux systems. I could probably add a copy of libgfortran.so to Artifactory and let Apache Ivy pull it i
tvandenbrande
cygwin static-libraries gfortran lapack blas
I previously had some troubles updating old code that still needed a not supported compiler and expensive libraries to a version with gfortran in Eclipse on Windows. I let it rest for a while and recently I took a whole other approach, rebuilding the program from scratch, developping on a ubuntu machine, but now I want to bring it back to a windows machine so that my co-workers can contribute on it. The status: Program compiles, runs and gives good results on an ubuntu machine with the GCC GNU c
Nicolas Zhong
c++ intel lapack blas intel-mkl
This is the configuration of QT project:unix {INCLUDEPATH += /opt/intel/mkl/includeLIBS += -L/opt/intel/mkl/lib/intel64 \-lmkl_intel_lp64 -lmkl_intel_thread -lmkl_core -lmkl_def \-liomp5 -lpthread -ldl -lm}And the errors is I hve linked the -lm flag, why?UPDATED:ubuntu@ubuntu-desktop:/opt/intel/mkl/tools$ ./mkl_link_tool -check_mkl_presenceIntel(R) Math Kernel Library (Intel(R) MKL) Link Tool v4.0==========================================================Unknown mode. Specify -libs, -opts, -env o
Elan
parallel-processing blas
I am compiling the package BLACS on Linux. I compiled the package, the contents of the INSTALL directory. When I try to build the contents of the directory TESTING, I get errorsblacstest.f:(.text+0xb9): undefined reference to `blacs_gridinit_’etc.When I tried looking for the function in the library, the message I get is,~/sources/BLACS/LIB$ nm blacs_MPI-LINUX-0.a | less | grep blacs_gridinit_ blacs_gridinit_.o: 0000000000000000 T blacs_gridinit__ Cblacs_gridinit_.oo:So the function exists, but w
kb1ooo
android-ndk fortran lapack blas
Following the instructions here I have built a Fortran enabled NDK toolchain (OSX, NDK-7b) with the goal of building LAPACK/BLAS.Using android-cmake with the 3.4.0 net lib source it seems that I’m nearly successful. However, the BLAS build fails when linking one of the tests (with an error stating unresolved sincos and sincosf). A little searching reveals that these functions are not available in legacy Android versions. I’m wondering what is the best way to resolve these functions?Below is and
user1813571
c compiler-errors statistics syntax-error blas
I’m using the gsl library in a c code. Everything goes fine but when i use the command gsl_linalg_cholesky_invert the terminal shows the following message:Undefined symbols for architecture x86_64:”_gsl_linalg_cholesky_invert”, referenced from:_main in cc4eefuQ.o ld: symbol(s) not found for architecture x86_64 collect2: error: ld returned 1 exit statusA code example is the following. #include <stdio.h> #include <gsl/gsl_math.h> #include <gsl/gsl_linalg.h> #include <math.h>
osgx
c linker blas
I’m sort of a newbie to C coding but I’ve written a Matlab program for simulating neural networks and I wish to translate it to C code because our supercomputer cluster won’t allow running more than a few Matlab simulations at once. To that end, I’ve found GotoBLAS to take care of the matrix math. Unfortunately I’m not sure how to use it as I don’t have a lot of experience in C and using external libraries. I’m assuming that ‘dgemm’ is a function in GotoBLAS from reading the BLAS guide pdf.
Oli Charlesworth
blas intel-mkl
I’m unable to link my program correctly. I use the following command line, but get an error.g++ -I/home/blah/intel/composerxe/mkl/include dotProduct.cpp /home/blah/intel/composerxe/mkl/lib/intel64/libmkl_core.aThe output is this:/tmp/ccvw6w13.o: In function `main’: dotProduct.cpp:(.text+0x108): undefined reference to `cblas_sdot’ collect2: ld returned 1 exit statusI also tried running a script that tries to link one by one against all .a files, but they all fail. Can anybody please suggest a sol
osgx
linker lapack blas armadillo
When I try to compile example1.cpp that comes with Armadillo 2.4.2, I keep getting the following linking error:/tmp/ccbnLbA0.o: In function `double arma::blas::dot<double>(unsigned int, double const*, double const*)’: main.cpp:(.text._ZN4arma4blas3dotIdEET_jPKS2_S4_[double arma::blas::dot<double>(unsigned int, double const*, double const*)]+0x3b): undefined reference to `wrapper_ddot_’ /tmp/ccbnLbA0.o: In function `void arma::blas::gemv<double>(char const*, int const*, int cons
Kyle Kanos
linker fortran lapack blas
I am working on a project written in a mix of Fortran 90 and Fortran 77 and now need to link the LAPACK/BLAS libraries, from netlib.org, to the project, all in a Linux environment. I used the gfortran compiler flags OPTS = -O2 -fPIC -m64 in the given Makefile, and then made it usingmake blaslib makeAnd it finished normally, or at least I think so.Then, I copied the files in /usr/local/lib and /usr/local/bin/ and /usr/local/lib64/ but it didn’t work. I even used the option -L/path/to/lapack/lib
OmnipotentEntity
c++ linker lapack blas intel-mkl
I am trying to compile a giant software package, and this is the last hurdle I can’t seem to figure out.I’m getting errors like:RNDiracDeterminantBase.cpp:(.text+0x22bf): undefined reference to `dgetrf_’ RNDiracDeterminantBase.cpp:(.text+0x2524): undefined reference to `dgetri_’ RNDiracDeterminantBase.cpp:(.text+0x3005): undefined reference to `dgetri_’ ../../lib/libqmcwfs.a(RNDiracDeterminantBase.cpp.o): In function `qmcplusplus::RNDiracDeterminantBase::ratio(qmcplusplus::ParticleSet&, int,
Pouya
gcc blas umfpack
I want to compile a very umfpack_simple.c from Demos of UMFPACK but I’m getting following error:[root@localhost Test]# gcc -I../UMFPACK/Include -I../AMD/Include -I../SuiteSparse_config -I../GotoBLAS2 umfpack_simple.c libumfpack.a libamd.a libgoto2.a libsuitesparseconfig.a libgoto2_nehalem-ra.13.a -lrt gcc: error: libgoto2_nehalem-ra.13.a: No such file or directory [root@localhost Test]# ls libamd.a libgoto2_nehalem-r1.13.a libumfpack.a libgoto2.a libsuitesparseconfig.a umfpack_simple.c [
user600029
c++ c blas atlas
This is the first time I am trying to use ATLAS. I am not able to link it properly. Here is a very simple sgemm program:… #include <cblas.h>const int M=10; const int N=8; const int K=5;int main() {float *A = new float[M*K];float *B = new float[K*N];float *C = new float[M*N];// Initialize A and Bcblas_sgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans, M, N, K, 1.0, A, K, B, N, 0.0, C, N);… }When I compile it on a linux platform with standard ATLAS installation, it gives linking error:g++
Pavan Yalamanchili
linear-algebra lapack blas
I am looking for some triangular solvers, and I have come across two solvers. One in BLAS: dtrsm and another in LAPACK: dtrtrs. From the looks of it both seem to have common functionality, with dtrsm having a little bit more functionality (scaling the right hand side before solving the system).I would like to know 1) How else do these functions differ ? 2) When performing the same operation, which is faster ? 3) If the answer to (2) is not obvious, When is dtrsm suggested over dtrtrs and vice v
xiaomao
c++ osx blas
When I tried to use ./configure in itpp4.2, it showed:configure: error: cannot find any BLAS library, which is required byLAPACK. You can override this error by using “–without-blas” option,but the functionality of the IT++ library will be limited. You havebeen warned!I already searched online for all possible solutions, but none helped. Above the line it said:checking how to get verbose linking output from g77… -v checking for Fortran 77 libraries of g77… -L/usr/lib -L/usr/local/lib/gcc/i
Sevenless
osx unix ld blas atlas
I’m trying to install the ATLAS BLAS libraries using this guide. I have the static libraries working, but it’s important that I have position independent libraries as well. I get to the point in the guide where I’m supposed to issue make shared to get the shared libraries and I get the following error:$ make shared rm -f libatlas.so liblapack.so make libatlas.so liblapack.so libf77blas.so libcblas.so liblapack.so ld -melf_x86_64 -shared -soname libatlas.so -o libatlas.so \–whole-archive libat
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