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
.
Despite its name, and due to the use of memory buffers in functions like SGEMM, the setting of NUM_THREADS can be relevant even for a single-threaded build of OpenBLAS, if such functions get called by multiple threads of a program that uses OpenBLAS. In some cases, the affected code may simply crash or throw a segmentation fault without displaying the above warning first.
Note that the number of threads used at runtime can be altered to differ from the value NUM_THREADS was set to at build time. At runtime, the actual number of threads can be set anywhere from 1 to the build's NUM_THREADS (note however, that this does not change the number of memory buffers that will be allocated, which is set at build time). The number of threads for a process can be set by using the mechanisms described below.
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
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.
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
.
- 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'
...
This example shows calling cblas_dgemm in C. https://gist.github.com/xianyi/6930656
#include <cblas.h>
#include <stdio.h>
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
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<sizeofa; i++)
A[i] = i%3+1;//(rand()%100)/10.0;
for (i=0; i<sizeofb; i++)
B[i] = i%3+1;//(rand()%100)/10.0;
for (i=0; i<sizeofc; i++)
C[i] = i%3+1;//(rand()%100)/10.0;
//#if 0
printf("m=%d,n=%d,k=%d,alpha=%lf,beta=%lf,sizeofc=%d\n",m,n,k,alpha,beta,sizeofc);
gettimeofday(&start, NULL);
dgemm_(&ta, &tb, &m, &n, &k, &alpha, A, &m, B, &k, &beta, C, &m);
gettimeofday(&finish, NULL);
duration = ((double)(finish.tv_sec-start.tv_sec)*1000000 + (double)(finish.tv_usec-start.tv_usec)) / 1000000;
double gflops = 2.0 * m *n*k;
gflops = gflops/duration*1.0e-6;
FILE *fp;
fp = fopen("timeDGEMM.txt", "a");
fprintf(fp, "%dx%dx%d\t%lf s\t%lf MFLOPS\n", m, n, k, duration, gflops);
fclose(fp);
free(A);
free(B);
free(C);
return 0;
}
gcc -o time_dgemm time_dgemm.c /your/path/libopenblas.a
./time_dgemm <m> <n> <k>
- Please read 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.
- 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.
If you want to understand every BLAS function and definition, please read Intel MKL reference manual or netlib.org
Here are OpenBLAS extension functions
You can reference our papers.
Alternatively, you can cite the OpenBLAS homepage http://www.openblas.net directly.