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Showing papers by "Heng-Yuan Lee published in 2020"


Proceedings ArticleDOI
01 Feb 2020
TL;DR: This work develops a two-way transpose (TWT) SRAM-CIM macro supporting multibit MAC operations for FWD and BWD propagation with fast rAC and high EF within a compact area.
Abstract: Many Al edge devices require local intelligence to achieve fast computing time (t AC ), high energy efficiency (EF), and privacy. The transfer-learning approach is a popular solution for Al edge chips, wherein data used to re-train the Al in the cloud is used to fine-tune (re-train) a few of the neural layers in edge devices. This enables the dynamic incorporation of data from in-situ environments or private information. Computing-in-memory (CIM) is a promising approach to improve EF for Al edge chips, existing CIM schemes support inference [1]–[5] with forward (FWD) propagation; however, they do not support training, requiring both FWD and backward (BWD) propagation, due to differences in weight-access flow for FWD and BWD propagation. As Fig. 15.2.1 shows, efforts to increase the precision of the input (IN), weight (W), and/or output (OUT) tend to degrade r AC and EF for training operations irrespective of scheme: digital FWD and BWD (DF-DB) or CIM-FWD-digital-BWD (CiMF-DB). This work develops a two-way transpose (TWT) SRAM-CIM macro supporting multibit MAC operations for FWD and BWD propagation with fast r AC and high EF within a compact area. The proposed scheme features (1) A TWT multiply cell (TWT-MC) with a high resistance to process variation; and (2) a small-offset gain-enhancement sense amplifier (SOGE-SA) to tolerate a small read margin. A 28nm 64Kb TWT SRAM-CIM macro was fabricated using a foundry-provided compact 6T-SRAM cell for SRAM-CIM devices supporting both inference and training operations for the first time. This macro also demonstrates the fastest t AC (3.8 – 21ns) and highest EF (7 – 61.1TOPS/w) for MAC operations using 2 – 8b inputs, 4 – 8b weights and 12 − 20b outputs.

119 citations


Proceedings ArticleDOI
01 Aug 2020
TL;DR: In this paper, a GaN/GaN high-electron-mobility transistors (HEMTs) were fabricated on high-resistivity silicon wafer, with T-gate of 0.14 μm footprint.
Abstract: Quaternary AlInGaN/GaN high-electron-mobility transistors (HEMTs) grown on high-resistivity silicon wafer were fabricated, with T-gate of 0.14 μm footprint. The HEMTs devices exhibit I ds,sat = 908 mA/mm and g m = 451 mS/mm. In small-signal operation, cut-off frequency F T /F MAX = 100/97 GHz are achieved, which gives a high value of (F T *L g ) = 13.9 GHz*μm among the reported GaN-on-Si devices. In large signal operation, power density of 1.7 W/mm and PAE = 33% were achieved at 10GHz, and 1.1 W/mm and PAE = 20% at 28 GHz.