v1.0-alpha
Chai is a benchmark suite of Collaborative Heterogeneous Applications for Integrated-architectures. The Chai benchmarks are designed to use the latest features of heterogeneous architectures such as shared virtual memory and system-wide atomics to achieve efficient simultaneous collaboration between host and accelerator devices.
Each benchmark has multiple implementations. This release includes the OpenCL-D, OpenCL-U, CUDA-D, CUDA-U, CUDA-D-Sim, and CUDA-U-Sim implementations. The C++AMP implementations are underway. If you would like early access to premature versions, please contact us.
Clone the repository:
git clone https://github.com/chai-benchmarks/chai.git
cd chai
Export environment variables:
export CHAI_OCL_LIB=<path/to/OpenCL/lib>
export CHAI_OCL_INC=<path/to/OpenCL/include>
Select desired implementation:
cd OpenCL-U
Select desired benchmark:
cd BFS
Compile:
make
Execute:
./bfs
For help instructions:
./bfs -h
Please cite the following paper if you find our benchmark suite useful:
- J. Gómez-Luna, I. El Hajj, L.-W. Chang, V. Garcia-Flores, S. Garcia de Gonzalo, T. Jablin, A. J. Peña, W.-M. Hwu. Chai: Collaborative Heterogeneous Applications for Integrated-architectures. In Proceedings of IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2017. [bibtex]
Install docker
for your system.
Install nvidia-docker
.
To build the docker image, use
nvidia-docker build . -t chai
To run a benchmark (for example, BS), do
nvidia-docker run -it chai bash -c "cd chai/OpenCL1.2/BS/ && ./bs"
Install docker
for your system.
To build the docker image for OpenCL 1.2 and 2.0 respectively, use
docker build . -f Dockerfile.intel_ocl1.2_cpu -t chai-intel-1.2
docker build . -f Dockerfile.intel_ocl2.0_cpu -t chai-intel-2.0
To run a benchmark (for example, BS) from the two images, use
docker run -it chai-intel-1.2 bash -c "cd BS/ && ./bs"
docker run -it chai-intel-2.0 bash -c "cd BS/ && ./bs"
To run all the benchmarks, try
docker run -it chai-intel-1.2 bash -c "test.sh"