Corrections to “An Efficient Two-Stage Pipelined Compute-in-Memory Macro for Accelerating Transformer Feed-Forward Networks”

In the above article [1], the die photograph on the right side of original Fig. 9 was inadvertently mirrored horizontally, as shown in Fig. 1. This occurred during the annotation process, where the image used had already been flipped without our awareness. As a result, the internal layout labeling (e.g., CIMA1, CIMA2, and ADC) appeared in reverse orientation relative to the actual die.Fig. 1.Difference clarification between the original Fig. 9 of our published article and the revised Fig. 9. Fig. 9.Die photograph and measure setup for the proposed chip.

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Publication Details

Journal
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Published
2025-08-26
DOI
https://doi.org/10.1109/tvlsi.2025.3582145
Primary Topic
Low-power high-performance VLSI design
Type
article
Field-Weighted Citation Impact
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article

Corrections to “An Efficient Two-Stage Pipelined Compute-in-Memory Macro for Accelerating Transformer Feed-Forward Networks”

Wenhe Yin, Li Du, Sunan He, Heng Zhang et al.
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Low-power high-performance VLSI design
article

Corrections to “An Efficient Two-Stage Pipelined Compute-in-Memory Macro for Accelerating Transformer Feed-Forward Networks”

Wenhe Yin, Li Du, Sunan He, Heng Zhang, Yuan Du
article en

Abstract

In the above article [1], the die photograph on the right side of original Fig. 9 was inadvertently mirrored horizontally, as shown in Fig. 1. This occurred during the annotation process, where the image used had already been flipped without our awareness. As a result, the internal layout labeling (e.g., CIMA1, CIMA2, and ADC) appeared in reverse orientation relative to the actual die.Fig. 1.Difference clarification between the original Fig. 9 of our published article and the revised Fig. 9. Fig. 9.Die photograph and measure setup for the proposed chip.

IEEE Transactions on Very Large Scale Integration (VLSI) SystemsVol. 33(9)
Nanjing University (CN)
Affordable and clean energy
Openalex Percentile: Top 79%
Low-power high-performance VLSI design
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