Yen-Cheng Chiu
Affiliations:- National Tsing Hua University, Hsinchu City, Taiwan
According to our database1,
Yen-Cheng Chiu
authored at least 13 papers
between 2019 and 2024.
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Bibliography
2024
An 8b-Precision 8-Mb STT-MRAM Near-Memory-Compute Macro Using Weight-Feature and Input-Sparsity Aware Schemes for Energy-Efficient Edge AI Devices.
IEEE J. Solid State Circuits, January, 2024
2023
A 22nm 8Mb STT-MRAM Near-Memory-Computing Macro with 8b-Precision and 46.4-160.1TOPS/W for Edge-AI Devices.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
2022
A 22-nm 1-Mb 1024-b Read Data-Protected STT-MRAM Macro With Near-Memory Shift-and-Rotate Functionality and 42.6-GB/s Read Bandwidth for Security-Aware Mobile Device.
IEEE J. Solid State Circuits, 2022
A 40-nm, 2M-Cell, 8b-Precision, Hybrid SLC-MLC PCM Computing-in-Memory Macro with 20.5 - 65.0TOPS/W for Tiny-Al Edge Devices.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022
A 22nm 4Mb STT-MRAM Data-Encrypted Near-Memory Computation Macro with a 192GB/s Read-and-Decryption Bandwidth and 25.1-55.1TOPS/W 8b MAC for AI Operations.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022
2020
Embedded 1-Mb ReRAM-Based Computing-in- Memory Macro With Multibit Input and Weight for CNN-Based AI Edge Processors.
IEEE J. Solid State Circuits, 2020
A Twin-8T SRAM Computation-in-Memory Unit-Macro for Multibit CNN-Based AI Edge Processors.
IEEE J. Solid State Circuits, 2020
A 4-Kb 1-to-8-bit Configurable 6T SRAM-Based Computation-in-Memory Unit-Macro for CNN-Based AI Edge Processors.
IEEE J. Solid State Circuits, 2020
13.4 A 22nm 1Mb 1024b-Read and Near-Memory-Computing Dual-Mode STT-MRAM Macro with 42.6GB/s Read Bandwidth for Security-Aware Mobile Devices.
Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020
2019
Considerations Of Integrating Computing-In-Memory And Processing-In-Sensor Into Convolutional Neural Network Accelerators For Low-Power Edge Devices.
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019
A 1Mb Multibit ReRAM Computing-In-Memory Macro with 14.6ns Parallel MAC Computing Time for CNN Based AI Edge Processors.
Proceedings of the IEEE International Solid- State Circuits Conference, 2019
A Twin-8T SRAM Computation-In-Memory Macro for Multiple-Bit CNN-Based Machine Learning.
Proceedings of the IEEE International Solid- State Circuits Conference, 2019
A 55nm 1-to-8 bit Configurable 6T SRAM based Computing-in-Memory Unit-Macro for CNN-based AI Edge Processors.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2019