Gómez-Luna, Juan; El Hajj, Izzat; Chang, Li-Wen; Garcia de Gonzalo, Simon; Huang, Sitao

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.

Related papers:

"Collaborative Computing on Heterogeneous CPU-FPGA Architectures Using OpenCL", Sitao Huang, Li-Wen Chang, Izzat El Hajj, Simon Garcia de Gonzalo, Juan Gómez-Luna, Sai Rahul Chalamalasetti, Mohamed Aly, Dejan Milojicic, Onur Mutlu, Deming Chen, Wen-mei Hwu, Proceedings of the 10th ACM/SPEC International Conference on Performance Engineering. ACM, 2019.. [more...]
"Chai: Collaborative Heterogeneous Applications for Integrated-architectures", Juan Gómez-Luna, Izzat El Hajj, Li-Wen Chang, Victor Garcia-Flores, Simon Garcia de Gonzalo, Thomas B. Jablin, Antonio J. Peña, Wen-mei Hwu, IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2017. [more...]
"Collaborative Computing for Heterogeneous Integrated Systems", Li-Wen Chang, Juan Gómez-Luna, Izzat El Hajj, Sitao Huang, Deming Chen, Wen-mei Hwu, ACM/SPEC International Conference on Performance Engineering (ICPE), 2017 . [more...]