CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture
Jinming Zhuang,
Jason Lau,
Hanchen Ye,
Zhuoping Yang,
Yubo Du,
Jack Lo,
Kristof Denolf,
Stephen Neuendorffer,
Alex Jones,
Jingtong Hu,
Deming Chen,
Jason Cong,
and Peipei Zhou
In The ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA),
2023
Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment
Xiaofan Zhang,
Hanchen Ye,
and Deming Chen
In The Workshop on Benchmarking Machine Learning Workloads on Emerging Hardware (MLBench) of the Conference on Machine Learning and Systems (MLSys),
2021
ScaleHLS: Achieving Scalable High-Level Synthesis through MLIR
Hanchen Ye,
Cong Hao,
Hyunmin Jeong,
Jack Huang,
and Deming Chen
In The Workshop on Languages, Tools, and Techniques for Accelerator Design (LATTE) of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS),
2021