Toward Reconfigurable In-Pixel Computing: A Fault-Tolerant Design Flow for Machine Learning Accelerators
Published in 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2025
| Field | Value |
|---|---|
| Publication type | Conference paper |
| Authors | Houxuan Guo, Manuel Blanco Valentín, Xiuyuan He, Seda Ogrenci |
| Venue | 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) |
| Year | 2025 |
| Citations | 0 |
| Tags | reconfigurable, pixel, machine-learning |
| Pages | 261–267 |
| Organization | IEEE |
Abstract
Toward Reconfigurable In-Pixel Computing: A Fault-Tolerant Design Flow for Machine Learning Accelerators.
BibTeX
@inproceedings{guo2025toward,
author = "Guo, Houxuan and Valent{\'\i}n, Manuel Blanco and He, Xiuyuan and Ogrenci, Seda",
title = "Toward Reconfigurable In-Pixel Computing: A Fault-Tolerant Design Flow for Machine Learning Accelerators",
booktitle = "2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)",
pages = "261--267",
year = "2025",
organization = "IEEE"
}
Recommended citation: Houxuan Guo, Manuel Blanco Valentín, Xiuyuan He, Seda Ogrenci (2025). "Toward Reconfigurable In-Pixel Computing: A Fault-Tolerant Design Flow for Machine Learning Accelerators." 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). 261–267.
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