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License: GNU Lesser General Public License v3.0
Portable and Flexible DGEMM Library for GPUs (OpenCL, CUDA, CAL) with special support for HPL
License: GNU Lesser General Public License v3.0
I compile it successfully and I use cuda as the backend.
When I execute this command './dgemm_bench -O 2 -p -A -B -m 40960 -n 40960'
, it always poses such an error: CUDA Error 77: an illegal memory access was encountered.
Use -? for help
Initializing CALDGEMM (CUDA Runtime)
Cannot use multiple devices without multithreading
Running on 1 devices with 30 bbuffers (gn01)
Initializing Data... ...alloc A (330240 KB) B (327744 KB) C (13109760 KB)......init A...init B...Done
Doing initial run... WARNING, you are using GPU_C or '-o g' option, but apparently you did not use CALDGEMM memory allocation with gpu_accessible feature ('-_' is missing).
You must take care to allocate GPU accessible memory yourself, or this can lead to invalid memory accesses.
CUDA Error 77: an illegal memory access was encountered
caldgemm_cuda.cu:371
CUDA Kernel Execution
Error running CALDGEMM
exiting
How can I solve this problem? And I can not change the backend because my gpu belongs to nvidia, right?
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