Altis Benchmark Suite
Altis is a benchmark suite to test the performance and other aspects of systems with Graphics Processing Units (GPUs), developed in SCEA lab at University of Texas at Austin. Altis consists of a collection of GPU applications with differnt performance implications. Altis focuses primarily on Compute Unified Device Architecture (CUDA) computing platform.
Documentaion regarding this project can be found at the Wiki page. The Wiki document contains information regarding Altis setup, installation, usage, and other information.
We are refactoring Altis codebase for better usability and making it more developer-friendly. We made sure the benchmark still compile properly during refactoring so you can still use it. The refactoring involves changing how each benchmark application is used and adding more benchmarks.
How to Get Altis
Simply execute the following command:
git clone https://github.com/utcs-scea/altis.git
Setup
Altis relies on the avaialbility of CUDA and CMake (>= 3.8). Please refer to Environment Setup for how to set up Altis.
Build:
After the environment is setup properly, go to the root directory of Altis, execute:
./setup.sh
For more information regarding building process, please refer to Build for more information.
To Run a Single Benchmark:
cd src/cuda/$BENCHMARK_LEVEL/$BENCHMARK
./$BENCHMARK [options]
General Options:
-c, --configFile specify configuration file
-d, --device specify device to run on
-i, --inputFile path of input file
-o, --outputFile path of output file
-m, --metricsFile path of file to write metrics to
-n, --passes specify number of passes
-p, --properties show properties for available platforms and devices (exits afterwards)
-q, --quiet enable minimal output
-s, --size specify problem size
-v, --verbose enable verbose output
Note: Run benchmark with --help to see full list of options available for that specific benchmark
To Run a Benchmark with Custom Data:
python data/$BENCHMARK/datagen.py [options]
- Run benchmark with
-i $DATA_FILEPATH
Note: Not all benchmarks have a datagen
Cite Us
Bibtex is shown below:
@INPROCEEDINGS{9238617,
author={B. {Hu} and C. J. {Rossbach}},
booktitle={2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)},
title={Altis: Modernizing GPGPU Benchmarks},
year={2020},
volume={},
number={},
pages={1-11},
doi={10.1109/ISPASS48437.2020.00011}}
Publication
B. Hu and C. J. Rossbach, "Altis: Modernizing GPGPU Benchmarks," 2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Boston, MA, USA, 2020, pp. 1-11, doi: 10.1109/ISPASS48437.2020.00011.
Contact
For any questions regarding this project, please send an email to bodunhu@utexas.edu or rossbach@cs.utexas.edu