Jun 7, 2023 · Saca-AVF: A Quantitative Approach to Analyze the Architectural Vulnerability Factors of CNN Accelerators. Abstract: Convolutional neural ...

We explore the reliability features of CNN accelerators under different design choices at different levels leveraging saca-AVF. We also observe several ...

Oct 11, 2023 · We explore the reliability features of CNN accelerators under different design choices at different levels leveraging saca-AVF. We also observe ...

Based on the traditional ACE-based AVF analysis model, we propose a quantitative approach saca-AVF to analyze the AVF of systolic array based CNN accelerators ...

Based on the traditional ACE-based AVF analysis model, we propose a quantitative approach saca-AVF to analyze the AVF of systolic array based CNN accelerators ...

A quantitative approach saca-AVF is proposed to analyze the soft error reliability of systolic array based CNN accelerators that perform homogeneous matrix ...

Saca-FI: A microarchitecture-level fault injection framework for reliability analysis of systolic array based CNN accelerator.

Qixiang Wang's 3 research works with 4 citations and 58 reads, including: Saca-AVF: A Quantitative Approach to Analyze the Architectural Vulnerability ...

, Liqi Ping , Qixiang Wang , Kaige Yan : Saca-AVF: A Quantitative Approach to Analyze the Architectural Vulnerability Factors of CNN Accelerators. IEEE ...

Saca-AVF: A Quantitative Approach to Analyze the Architectural Vulnerability Factors of CNN Accelerators ... Enabling High-Efficient ReRAM-Based CNN Training Via ...