Live Demonstration: A Scalable CNN Accelerator SoC With a Cost-Effective Chip-to-Chip Adapter

In this demonstration, we present a system-on-chip (SoC) designed to support scalable CNN acceleration at a low cost. The SoC features a cost-effective chip-to-chip adapter that enables scalable performance improvements with minimal design costs. This adapter manages chip-to-chip synchronization and data scheduling, effectively reducing chip-to-chip latency overhead. The SoC is implemented using the Silterra 130-nm CMOS technology with a chip size of 6.3×6.3 mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>.

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Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043327
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Live Demonstration: A Scalable CNN Accelerator SoC With a Cost-Effective Chip-to-Chip Adapter

Xuan Truong Nguyen, Hyuk‐Jae Lee, Chunmyung Park, Jicheon Kim et al.
Advanced Memory and Neural Computing
article

Live Demonstration: A Scalable CNN Accelerator SoC With a Cost-Effective Chip-to-Chip Adapter

Xuan Truong Nguyen, Hyuk‐Jae Lee, Chunmyung Park, Jicheon Kim, Eunjae Hyun
article en

Abstract

In this demonstration, we present a system-on-chip (SoC) designed to support scalable CNN acceleration at a low cost. The SoC features a cost-effective chip-to-chip adapter that enables scalable performance improvements with minimal design costs. This adapter manages chip-to-chip synchronization and data scheduling, effectively reducing chip-to-chip latency overhead. The SoC is implemented using the Silterra 130-nm CMOS technology with a chip size of 6.3×6.3 mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>.

Seoul National University (KR)
Affordable and clean energy
Openalex Percentile: Top 87%
Advanced Memory and Neural Computing
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Live Demonstration: A Scalable CNN Accelerator SoC With a Cost-Effective Chip-to-Chip Adapter — Xuan Truong Nguyen, Hyuk‐Jae Lee, et al. · (2025) | TGRS Research Map | TGRS