Hi,
I was trying to run gem5 with its GCN3 GPU model following the instructions
on https://www.gem5.org/documentation/general_docs/gpu_models/GCN3.
I fixed some bugs in the code but still cannot run the example. I attached
commands and bugs I fixed below.
The simulator launched and running into this problem:
> Program Started!
> info: running on device
> info: architecture on AMD GPU device is: 801
> info: allocate host mem ( 7.63 MB)
> info: launch 'vector_square' kernel
> panic: panic condition availableTokens > maxTokens occurred: More tokens
> available than the maximum after recvTokens!
> Memory Usage: 1737788 KBytes
> Program aborted at tick 137231963000
Is there anything I did incorrectly?
Thanks!
Best, Yichen
To be specific, I use the following command:
> ## build docker
> docker build -t gcn3-test gem5/util/dockerfiles/gcn-gpu
> ## make gem5
> docker run --rm -v $PWD/gem5:/gem5 -w /gem5 gcn3-test scons -sQ -j$(nproc)
> build/GCN3_X86/gem5.opt
> ## make application
> docker run --rm -v $PWD/gem5-resources:/gem5-resources -w /gem5-resources
> -u $UID:$GID \
> gcr.io/gem5-test/gcn-gpu make gfx8-apu -C
> /gem5-resources/src/square
> ## run gem5
> docker run --rm -v $PWD/gem5:/gem5 -v $PWD/gem5-resources:/gem5-resources \
> -w /gem5 gcn3-test \
> build/GCN3_X86/gem5.opt configs/example/apu_se.py -n2 \
> --benchmark-root=/gem5-resources/src/square/bin \
> -c square.o
And here's the bugs I fixed:
> diff --git a/configs/example/apu_se.py b/configs/example/apu_se.py
> index 03418c3..a285a14 100644
> --- a/configs/example/apu_se.py
> +++ b/configs/example/apu_se.py
> @@ -174,7 +174,7 @@ parser.add_option("--numLdsBanks", type="int",
> default=32,
> help="number of physical banks per LDS module")
> parser.add_option("--ldsBankConflictPenalty", type="int", default=1,
> help="number of cycles per LDS bank conflict")
> -parser.add_options("--lds-size", type="int", default=65536,
> +parser.add_option("--lds-size", type="int", default=65536,
> help="Size of the LDS in bytes")
> parser.add_option('--fast-forward-pseudo-op', action='store_true',
> help = 'fast forward using kvm until the m5_switchcpu'
> diff --git a/src/gpu-compute/compute_unit.hh
> b/src/gpu-compute/compute_unit.hh
> index fe2091d..2df4807 100644
> --- a/src/gpu-compute/compute_unit.hh
> +++ b/src/gpu-compute/compute_unit.hh
> @@ -1015,6 +1015,8 @@ class ComputeUnit : public ClockedObject
> return sqcTLBPort;
> } else if (if_name == "ldsPort") {
> return ldsPort;
> + } else if (if_name == "gmTokenPort") {
> + return gmTokenPort;
> } else {
> return ClockedObject::getPort(if_name, idx);
> }
--
*Yichen Yang*
University of Michigan
Ph.D. Student in Computer Science and Engineering
Address: 2260 Hayward St, Ann Arbor, MI 48109, U.S.A.
E-mail: yang...@umich.edu
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