A compiler, simulator, and modeling envorinment for stream-dataflow-based architectures.
The following are the main submodules:
- Implementation of stream-dataflow++ within RISCV (riscv-opcodes)
- Gem5 Simulator (gem5)
- Modified RISCV Compiler (riscv-gnu-toolchain)
- Architecture Modeling Tools + Dataflow Graph Compiler (ss-scheduler)
- Example Workloads (ss-workloads)
- Follow the provided instructions to build the stream specialized software stack locally
- There may be some dependences which are not listed, install as necessary for now.
This code is dependent on many libraries.
If you are on Ubuntu, try this:
sudo apt-get install autoconf automake autotools-dev curl libmpc-dev libmpfr-dev \
libgmp-dev gawk build-essential bison flex texinfo gperf libtool patchutils bc \
qt4-dev-tools libqt4-dev python-dev scons libboost-regex-dev \
libboost-serialization-dev libgoogle-perftools-dev libbison-dev parallel
- Clone this repo in from git
git clone --recursive https://github.com/PolyArch/stream-specialization-stack
- Source the setup.sh script:
source setup.sh
- Build the software:
make build-all
NOTE: DO NOT use -j, which may cause dependence problem!
You can set JOBS=n to attribute parallelizable build commands.
JOBS=4 make build-all
- A Full Rebuild wipe the install directory and install everything over again. If folder is in a bad state, try this:
make full-rebuild
- Incremental rebuild should mostly only do what is necessary (still slower than building one library):
make build-all
- You can make an individual library by doing this (eg. ss-scheduler).
make ss-scheduler
- The setup.sh initialies some environment variables
SS_STACK:This is the location of this repositorySS_TOOLS:This is the location of any installed files.
If you use this repository in your work, please consider citing the following:
Stream-Dataflow Acceleration, ISCA 2019, Tony Nowatzki, Vinay Gangadhar, Newsha Ardalani, Karthikeyan Sankaralingam https://doi.org/10.1145/3079856.3080255