M.S. student in NTU EE, with a B.S. in NYCU CS. I'm passionate about HW/SW co-design, domain-specific accelerator, computer architecture, and pervasive AI.
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written in C
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Kernel module edition of the Cycles Per Instruction (2014) album.
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 2…
a high performance library for building cache simulators
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning