1. CS5100 Advanced Computer Architecture
Gem5-GPU Installation
CS5100 Advanced Computer Architecture

2. Introduction of Gem5-GPU
It merges 2 popular simulators: gem5 and gpgpu-sim
Simulates CPUs, GPUs, and the interactions between them
Models a flexible memory system with support for heterogeneous processors and coherence
Supports full-system simulation through GPU driver emulation

3. Set up gem5-gpu environment
Platform: Ubuntu 14.04LTS 64bit
Recommended RAM size: 4G
Recommended Hard Disk size: 80G
Download path:
gcc 4.7 & g installation
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get install gcc-4.7
sudo apt-get install g++-4.7
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g
sudo update-alternatives --config gcc
sudo update-alternatives --config g++

4. Set up gem5-gpu environment
Install essential packages
sudo apt-get install zlib1g-dev bison mercurial scons libprotobuf-dev python-dev swig protobuf-compiler
Install CUDA toolkit 3.2
wget
chmod +x ./cudatoolkit_3.2.16_linux_64_ubuntu10.04.run
sudo ./cudatoolkit_3.2.16_linux_64_ubuntu10.04.run
export CUDAHOME=/usr/local/cuda
export PATH=$PATH:/usr/local/cuda/bin
export LD_LIBRARY_PATH=/usr/local/cuda/lib64

5. Set up gem5-gpu environment
edit .hgrc
vim .hgrc
type the following in the document
[extensions]
mq=
[ui]
username = <your username> ←fill in your own username

6. Set up gem5-gpu environment
Clone gem5 and gem5-patches
mkdir gem5-gpu
cd gem5-gpu
hg qclone -p
cd gem5/
hg update -r 11060
hg qpush -a
cd ..

7. Set up gem5-gpu environment
Clone GPGPU-Sim and GPGPU-Sim patches
hg qclone -p
cd gpgpu-sim
hg qpush -a
cd ..
Clone gem5-gpu glue code
hg clone
Build
cd gem5
scons build/X86_VI_hammer_GPU/gem5.opt --default=X86 EXTRAS=../gem5-gpu/src:../gpgpu-sim/ PROTOCOL=VI_hammer GPGPU_SIM=True

8. Set up gem5-gpu environment
Obtain CUDA SDK
wget
chmod +x ./gpucomputingsdk_3.2.16_linux.run
sudo ./gpucomputingsdk_3.2.16_linux.run
export NVIDIA_CUDA_SDK_LOCATION=/home/<username>/NVIDIA_GPU_Computing_SDK/C
Obtain Benchmarks
~/gem5-gpu $ hg clone
Do this under your root directory (gem5-gpu/ in this example)

9. Set up gem5-gpu environment
Compile
~/gem5-gpu$ cd benchmarcks/libcuda/
make
If you encounter make error, please export CUDA path in page 4 again
cd /home/<username>/NVIDIA_GPU_Computing_SDK/C/common

10. Example of Compiling benchmark
Use gcc 4.4 & g to compile benchmarks
sudo apt-get install gcc-4.4
sudo apt-get install g++-4.4
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g
sudo update-alternatives --config gcc
sudo update-alternatives --config g++
Example of Compiling a Benchmark
~/gem5-gpu/benchmarks$ cd rodinia/backprop
make gem5-fusion

11. Example of running benchmark
Example of Running a Benchmark
cd gem5/
build/X86_VI_hammer_GPU/gem5.opt ../gem5-gpu/configs/se_fusion.py -c ../benchmarks/rodinia/backprop/gem5_fusion_backprop -o "16“
Or type the commend under if you have problem
/home/pads/gem5-gpu/gem5/build/X86_VI_hammer_GPU/gem5.opt /home/pads/gem5-gpu/gem5-gpu/configs/se_fusion.py -c /home/pads/gem5-gpu/benchmarks/rodinia/backprop/gem5_fusion_backprop -o "16”
Run other benchmarks
16 is the parameter that backprop benchmark needed, different benchmark will need different type of input
Find the command argument at README or run file in the benchmark folder

12. Example of running benchmark with input data
Download input data
Compile image compression benchmark dwt
~/gem5-gpu/benchmarks$ cd rodinia/dwt
make gem5-fusion
Run dwt
build/X86_VI_hammer_GPU/gem5.opt ../gem5-gpu/configs/se_fusion.py -c ../benchmarks/rodinia/dwt/gem5_fusion_dwt -o “--dimension 192x192 <your input data folder>/dwt2d/192.bmp <your input data folder>/data/dwt2d/out”
Parameters in command correspond to “--dimension <size> <Input_path]> <Output_path>”

13. Possible error
When you run benchmark with input data you may encounter following error
Please go to gem5/build/X86_VI_hammer_GPU/mem/packet_queue.cc and modify limit of transmitList.size() in line 117, then rebuild gem5

14. Reference Getting Started Build Benchmarks
Build Benchmarks
Simulator version information