Please first install the Rust toolchain.
The simulator interacts with python3 for parsing sparse matrices:
$ python3 -m venv spadaenv
$ source spadaenv/bin/activate
$ pip install -U pip numpy scipy$ cargo build --no-default-featuresThe simulator accepts both MatrixMarket (.mtx) and numpy formatted matrices, with the latter ones packed as a pickle file (.pkl). The folder containing these matrices is specified in the config file under config.
First ensure the created python virtual environment is activated. The following command simulates SpGEMM of cari on Spada with the configuration specified in config/config_1mb_row1.json.
(spadaenv) $ ./target/debug/spada-sim accuratesimu spada ss cari config/config_1mb_row1.jsonIf you use this tool in your research, please kindly cite the following paper.
Zhiyao Li, Jiaxiang Li, Taijie Chen, Dimin Niu, Hongzhong Zheng, Yuan Xie, and Mingyu Gao. Spada: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow. In Proceedings of the 28th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023.