Work

Toward Reconfigurable In-Pixel Computing: A Fault-Tolerant Design Flow for Machine Learning Accelerators: (Invited Paper)

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM)

Authors: Houxuan Guo, Manuel Blanco Valentín, Xiuyuan He, Seda Ogrenci

Institution: Northwestern University

Language: English

Topic: Embedded Systems Design Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Science Foundation

Award: POSE: Phase II: An Open Source Ecosystem for Collaborative Rapid Design of Edge AI Hardware Accelerators for Integrated Data Analysis and Discovery

OpenAlex ID: W4410810428

FWCI:

Cites: 10

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Related to: 10