The Zhang Research Group will lead a major research theme at the newly launched ACE Center for Evolvable Computing, advancing programmable and scalable hardware accelerators as part of the JUMP 2.0 initiative. Read More ›
Prof. Zhiru Zhang joins the newly elevated class of 2023 of IEEE Fellows for his contributions to FPGA high-level synthesis and machine learning accelerators. Read More ›
Chenhui Deng and Prof. Zhiru Zhang, along with their co-authors, Xiuyu Li and Zhuo Feng, will publish their work, GARNET, as a part of this year's proceedings of the Learning on Graphs Conference (LoG). Read More ›
Congratulations to Dr. Ecenur Üstün, who successfully defended her thesis on “Learning-Assisted Techniques for Agile Arithmetic Design on FPGAs"! Read More ›
Congratulations to Chenhui Deng and Andrew Butt on winning the 2022 Qualcomm Innovation Fellowship (QIF). for their work on power inference using self-supervised learning! Read More ›