# Notes on OpenBLAS usage ## Usage #### Program is Terminated. Because you tried to allocate too many memory regions In OpenBLAS, we mange a pool of memory buffers and allocate the number of buffers as the following. ``` #define NUM_BUFFERS (MAX_CPU_NUMBER * 2) ``` This error indicates that the program exceeded the number of buffers. Please build OpenBLAS with larger `NUM_THREADS`. For example, `make NUM_THREADS=32` or `make NUM_THREADS=64`. In `Makefile.system`, we will set `MAX_CPU_NUMBER=NUM_THREADS`. #### How can I use OpenBLAS in multi-threaded applications? If your application is already multi-threaded, it will conflict with OpenBLAS multi-threading. Thus, you must set OpenBLAS to use single thread in any of the following ways: * `export OPENBLAS_NUM_THREADS=1` in the environment variables. * Call `openblas_set_num_threads(1)` in the application on runtime. * Build OpenBLAS single thread version, e.g. `make USE_THREAD=0` If the application is parallelized by OpenMP, please use OpenBLAS built with `USE_OPENMP=1` #### How to choose TARGET manually at runtime when compiled with DYNAMIC_ARCH The environment variable which control the kernel selection is `OPENBLAS_CORETYPE` (see `driver/others/dynamic.c`) e.g. `export OPENBLAS_CORETYPE=Haswell` and the function `char* openblas_get_corename()` returns the used target. #### How could I disable OpenBLAS threading affinity on runtime? You can define the `OPENBLAS_MAIN_FREE` or `GOTOBLAS_MAIN_FREE` environment variable to disable threading affinity on runtime. For example, before the running, ``` export OPENBLAS_MAIN_FREE=1 ``` Alternatively, you can disable affinity feature with enabling `NO_AFFINITY=1` in `Makefile.rule`. ## Linking with the library * Link with shared library `gcc -o test test.c -I /your_path/OpenBLAS/include/ -L/your_path/OpenBLAS/lib -lopenblas` If the library is multithreaded, please add `-lpthread`. If the library contains LAPACK functions, please add `-lgfortran` or other Fortran libs. * Link with static library `gcc -o test test.c /your/path/libopenblas.a` You can download `test.c` from https://gist.github.com/xianyi/5780018 On Linux, if OpenBLAS was compiled with threading support (`USE_THREAD=1` by default), custom programs statically linked against `libopenblas.a` should also link with the pthread library e.g.: ``` gcc -static -I/opt/OpenBLAS/include -L/opt/OpenBLAS/lib -o my_program my_program.c -lopenblas -lpthread ``` Failing to add the `-lpthread` flag will cause errors such as: ``` /opt/OpenBLAS/libopenblas.a(memory.o): In function `_touch_memory': memory.c:(.text+0x15): undefined reference to `pthread_mutex_lock' memory.c:(.text+0x41): undefined reference to `pthread_mutex_unlock' ... ``` ## Code examples #### Call CBLAS interface This example shows calling cblas_dgemm in C. https://gist.github.com/xianyi/6930656 ``` #include #include void main() { int i=0; double A[6] = {1.0,2.0,1.0,-3.0,4.0,-1.0}; double B[6] = {1.0,2.0,1.0,-3.0,4.0,-1.0}; double C[9] = {.5,.5,.5,.5,.5,.5,.5,.5,.5}; cblas_dgemm(CblasColMajor, CblasNoTrans, CblasTrans,3,3,2,1,A, 3, B, 3,2,C,3); for(i=0; i<9; i++) printf("%lf ", C[i]); printf("\n"); } ``` `gcc -o test_cblas_open test_cblas_dgemm.c -I /your_path/OpenBLAS/include/ -L/your_path/OpenBLAS/lib -lopenblas -lpthread -lgfortran` #### Call BLAS Fortran interface This example shows calling dgemm Fortran interface in C. https://gist.github.com/xianyi/5780018 ``` #include "stdio.h" #include "stdlib.h" #include "sys/time.h" #include "time.h" extern void dgemm_(char*, char*, int*, int*,int*, double*, double*, int*, double*, int*, double*, double*, int*); int main(int argc, char* argv[]) { int i; printf("test!\n"); if(argc<4){ printf("Input Error\n"); return 1; } int m = atoi(argv[1]); int n = atoi(argv[2]); int k = atoi(argv[3]); int sizeofa = m * k; int sizeofb = k * n; int sizeofc = m * n; char ta = 'N'; char tb = 'N'; double alpha = 1.2; double beta = 0.001; struct timeval start,finish; double duration; double* A = (double*)malloc(sizeof(double) * sizeofa); double* B = (double*)malloc(sizeof(double) * sizeofb); double* C = (double*)malloc(sizeof(double) * sizeofc); srand((unsigned)time(NULL)); for (i=0; i ` ## Troubleshooting * Please read [Faq](https://github.com/xianyi/OpenBLAS/wiki/Faq) at first. * Please use gcc version 4.6 and above to compile Sandy Bridge AVX kernels on Linux/MingW/BSD. * Please use Clang version 3.1 and above to compile the library on Sandy Bridge microarchitecture. The Clang 3.0 will generate the wrong AVX binary code. * The number of CPUs/Cores should less than or equal to 256. On Linux x86_64(amd64), there is experimental support for up to 1024 CPUs/Cores and 128 numa nodes if you build the library with BIGNUMA=1. * OpenBLAS does not set processor affinity by default. On Linux, you can enable processor affinity by commenting the line NO_AFFINITY=1 in Makefile.rule. But this may cause [the conflict with R parallel](https://stat.ethz.ch/pipermail/r-sig-hpc/2012-April/001348.html). * On Loongson 3A. make test would be failed because of pthread_create error. The error code is EAGAIN. However, it will be OK when you run the same testcase on shell. ## BLAS reference manual If you want to understand every BLAS function and definition, please read [Intel MKL reference manual](https://software.intel.com/sites/products/documentation/doclib/iss/2013/mkl/mklman/GUID-F7ED9FB8-6663-4F44-A62B-61B63C4F0491.htm) or [netlib.org](http://netlib.org/blas/) Here are [OpenBLAS extension functions](https://github.com/xianyi/OpenBLAS/wiki/OpenBLAS-Extensions) ## How to reference OpenBLAS. You can reference our [papers](https://github.com/xianyi/OpenBLAS/wiki/publications). Alternatively, you can cite the OpenBLAS homepage http://www.openblas.net directly.