How to use NVIDIA/cuda_samples code?

aeiou963 · July 16, 2023, 5:27am

I want to use sampleIPC.cu , link is below.

NVIDIA/cuda-samples/blob/master/Samples/0_Introduction/simpleIPC/simpleIPC.cu

/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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 * modification, are permitted provided that the following conditions
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 *  * Redistributions of source code must retain the above copyright
 *    notice, this list of conditions and the following disclaimer.
 *  * Redistributions in binary form must reproduce the above copyright
 *    notice, this list of conditions and the following disclaimer in the
 *    documentation and/or other materials provided with the distribution.
 *  * Neither the name of NVIDIA CORPORATION nor the names of its
 *    contributors may be used to endorse or promote products derived
 *    from this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
 * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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so i downloaded “cuda-samples-master” folder which is 593.6MB. and put the command “make” on terminal.

and i got some error like below

HP-ZCentral-4R-Workstation:~/Desktop/User/docker/cuda-samples-master/Samples/0_Introduction/simpleIPC$ make
/usr/local/cuda/bin/nvcc -ccbin g++ -I…/…/…/Common -m64 --threads 0 --std=c++11 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_89,code=sm_89 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_90,code=compute_90 -o helper_multiprocess.o -c …/…/…/Common/helper_multiprocess.cpp
nvcc fatal : Unsupported gpu architecture ‘compute_89’
make: *** [Makefile:352: helper_multiprocess.o] Error 1

how can i solve this?

ryork · July 26, 2023, 4:56pm

You could remove all references to compute_89 and sm_89. That is actually a valid computation level so this probably means you need a newer version of the CUDA SDK to support them.

The RTX 4000 series cards are at computation level 8.9 and the RTX Ada series of cards at level 9.0 so those really are valid.