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:
Select desired benchmark:
For help instructions:
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]
Chai Benchmarks for CPU-FPGA Systems
The FPGA synthesizable version of Chai benchmarks can be found in this chai-fpga repository.