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authorTor Aamodt <[email protected]>2025-02-10 17:35:31 -0800
committerGitHub <[email protected]>2025-02-10 17:35:31 -0800
commit0e39753a623978eb37bf044b21fde1a5909bff03 (patch)
tree13416ab3a165dde580fe847b06bde7c966482088 /README.md
parent6b244a5d3be7811f16c312905c1c7fee137ac7a4 (diff)
parent48af0c94ca6d7b05f800f535b3de4cefafcfa655 (diff)
Merge pull request #313 from accel-sim/dev
Purdue Updates Merging
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@@ -266,7 +266,7 @@ To run Pytorch applications with the simulator, install the modified Pytorch lib
## Step 3: Run
-Before we run, we need to make sure the application's executable file is dynamically linked to CUDA runtime library. This can be done during compilation of your program by introducing the nvcc flag "--cudart shared" in makefile (quotes should be excluded).
+Before we run, we need to make sure the application's executable file is dynamically linked to CUDA runtime library. This can be done during compilation of your program by introducing the nvcc flag "-lcudart" in makefile (quotes should be excluded).
To confirm the same, type the follwoing command: