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A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm., , , , , , , , and . IEEE J. Solid State Circuits, 58 (4): 1129-1141 (2023)A 1.17-pJ/b, 25-Gb/s/pin Ground-Referenced Single-Ended Serial Link for Off- and On-Package Communication Using a Process- and Temperature-Adaptive Voltage Regulator., , , , , , , , , and 3 other author(s). IEEE J. Solid State Circuits, 54 (1): 43-54 (2019)AutoCRAFT: Layout Automation for Custom Circuits in Advanced FinFET Technologies., , , , , , , , , and . ISPD, page 175-183. ACM, (2022)Joint impact of random variations and RTN on dynamic writeability in 28nm bulk and FDSOI SRAM., , , , , and . ESSDERC, page 98-101. IEEE, (2014)Reprogrammable Redundancy for SRAM-Based Cache Vmin Reduction in a 28-nm RISC-V Processor., , , and . IEEE J. Solid State Circuits, 52 (10): 2589-2600 (2017)Simba: scaling deep-learning inference with chiplet-based architecture., , , , , , , , , and 7 other author(s). Commun. ACM, 64 (6): 107-116 (2021)Resilient Design Techniques for Improving Cache Energy Efficiency.. University of California, Berkeley, USA, (2015)Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture., , , , , , , , , and 7 other author(s). MICRO, page 14-27. ACM, (2019)6.6 Reference-Noise Compensation Scheme for Single-Ended Package-to-Package Links., , , , , , , , , and 1 other author(s). ISSCC, page 126-128. IEEE, (2020)A 28 nm 2 Mbit 6 T SRAM With Highly Configurable Low-Voltage Write-Ability Assist Implementation and Capacitor-Based Sense-Amplifier Input Offset Compensation., , , , , , , , , and 1 other author(s). IEEE J. Solid State Circuits, 51 (2): 557-567 (2016)