발행물
컨퍼런스
S. VLSI 2021
2021
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OmniDRL: A 29.3 TFLOPS/W Deep Reinforcement Learning Processor with Dual-mode Weight Compression and On-chip Sparse Weight Transposer
A 13.7 TFLOPS/W Floating-point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory
COOLChips 2021
An Energy-efficient Deep Neural Network Training Processor with Bit-slice-level Reconfigurability and Sparsity Exploitation
ISCAS 2021
A 0.82 μW CIS-based Action Recognition SoC with Self-Adjustable Frame Resolution for Always-on IoT Devices
A 43.1TOPS/W Energy-Efficient Absolute-Difference-Accumulation Operation Computing-In-Memory with Computation Reuse