个人简介
2022年6月至今，复旦大学芯片与系统前沿技术研究院博士后
2017年9月—2022年6月，复旦大学，微电子学与固体电子学，理学博士，导师：曾晓洋
2013年9月—2017年6月，复旦大学，微电子科学与工程，工学学士
研究内容：主要从事存算融合智能处理器芯片架构与系统、Chiplet集成芯片系统等领域的研究，致力于通过电路、架构、算法的跨层次协同优化实现高能效、高可扩展的智能处理芯片与系统。目前已在相关领域发表多篇学术论文，其中基于存边计算的2.5D集成芯片系统COMB-MCM入选ISSCC 2022会议。已获得3项发明专利授权。
近期论文
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Zhu, Haozhe, Bo Jiao, Jinshan Zhang et al. “COMB-MCM: Computing-on-Memory-Boundary NN Processor with Bipolar Bitwise Sparsity Optimization for Scalable Multi-Chiplet-Module Edge Machine Learning”, In 2022 International Solid-State Circuits Conference (ISSCC), pp. 250-252, IEEE, 2022.
Zhu, Haozhe, Chixiao Chen, Shiwei Liu et al. “A Communication-Aware DNN Accelerator on ImageNet Using in-Memory Entry-Counting Based Algorithm-Circuit-Architecture Co-Design in 65nm CMOS.” In IEEE Journal on Emerging and Selected Topics in Circuits and Systems10, no. 3 (2020): 283-294.
Zhu, Haozhe, Yu Wang, and C.-J. Richard Shi. “Tanji: A General-Purpose Neural Network Accelerator with a Unified Crossbar Architecture.”IEEE Design & Test37, no. 1 (2019): 56-63.
Jiao, Bo, Haozhe Zhu, Jinshan Zhang et al. “Computing Utilization Enhancement for Chiplet-based Homogeneous Processing-in-Memory Deep Learning Processors.” In 2021 31st Great Lakes Symposium on VLSI (GLSVLSI), pp. 241-246. ACM, 2021. (Co-first author)
Jia, Xinru, Haozhe Zhu et al. “Accepted, not yet officially published”, In2022 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, 2022.
Zhang, Jinshan, Bo Jiao, Yunzhengmao Wang,Haozhe Zhuet al. “ALPINE: An Agile Processing-in-Memory Macro Compilation Framework.” In2021 31st Great Lakes Symposium on VLSI (GLSVLSI), pp. 333-338. ACM, 2021.
Liu, Shiwei, Haozhe Zhu, Chixiao Chen et al. “XNORAM: An Efficient Computing-in-Memory Architecture for Binary Convolutional Neural Networks with Flexible Dataflow Mapping.” In2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), pp. 21-25. IEEE, 2020.
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