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Bio
My research interests include methodologies for the principled and automated mapping of deep learning algorithms on mobile and embedded computing platforms, as well as the design of custom hardware accelerators for the high-performance, energy-efficent deployment of deep neural networks. During my PhD, I focused on the design of architectures and methodologies for mapping deep learning algorithms to high-performance, energy-efficient reconfigurable FPGA-based systems and making FPGAs more accessible to AI practitioners.
Research Interests
Papers共 248 篇Author StatisticsCo-AuthorSimilar Experts
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IEEE TRANSACTIONS ON MOBILE COMPUTINGno. 3 (2024): 2367-2381
IEEE Pervasive Computingno. 99 (2024): 1-10
CoRR (2024)
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IEEE Wireless Communications Lettersno. 99 (2024): 1-1
CoRR (2023): 411-416
ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMSno. 6 (2023): 92:1-92:31
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems (2023): 138-151
ACM Transactions on Embedded Computing Systems (2023)
56TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, MICRO 2023pp.353-366, (2023)
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