1. Improving GNN-based accelerator design automation with meta learning
2. The future of microprocessors
3. Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs
4. Chen , Z. , Blair , H.T. , and Cong , J . LANMC: LSTM-assisted non-rigid motion correction on FPGA for calcium image stabilization . In Proceedings of the 2019 ACM/SIGDA Intern. Symp. on Field-Programmable Gate Arrays, 104--109 . Chen, Z., Blair, H.T., and Cong, J. LANMC: LSTM-assisted non-rigid motion correction on FPGA for calcium image stabilization. In Proceedings of the 2019 ACM/SIGDA Intern. Symp. on Field-Programmable Gate Arrays, 104--109.
5. Exploiting Computation Reuse for Stencil Accelerators