Yen-Lin Chung
According to our database1,
Yen-Lin Chung
authored at least 9 papers
between 2021 and 2024.
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Bibliography
2024
An 8b-Precision 6T SRAM Computing-in-Memory Macro Using Time-Domain Incremental Accumulation for AI Edge Chips.
IEEE J. Solid State Circuits, July, 2024
An Energy-Efficient Computing-in-Memory NN Processor With Set-Associate Blockwise Sparsity and Ping-Pong Weight Update.
IEEE J. Solid State Circuits, May, 2024
8-Bit Precision 6T SRAM Compute-in-Memory Macro Using Global Bitline-Combining Scheme for Edge AI Chips.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024
2023
A 8-b-Precision 6T SRAM Computing-in-Memory Macro Using Segmented-Bitline Charge-Sharing Scheme for AI Edge Chips.
IEEE J. Solid State Circuits, March, 2023
2022
Two-Way Transpose Multibit 6T SRAM Computing-in-Memory Macro for Inference-Training AI Edge Chips.
IEEE J. Solid State Circuits, 2022
A 28nm 1Mb Time-Domain Computing-in-Memory 6T-SRAM Macro with a 6.6ns Latency, 1241GOPS and 37.01TOPS/W for 8b-MAC Operations for Edge-AI Devices.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022
2021
A Local Computing Cell and 6T SRAM-Based Computing-in-Memory Macro With 8-b MAC Operation for Edge AI Chips.
IEEE J. Solid State Circuits, 2021
A 2.75-to-75.9TOPS/W Computing-in-Memory NN Processor Supporting Set-Associate Block-Wise Zero Skipping and Ping-Pong CIM with Simultaneous Computation and Weight Updating.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021
16.3 A 28nm 384kb 6T-SRAM Computation-in-Memory Macro with 8b Precision for AI Edge Chips.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021