@inproceedings{2f44bf85ca8a4254b1e13bd08f22d127,
title = "Towards Coarse-Grained Reconfigurable Approximate Computing with CGRAgen",
abstract = "Modern Edge Computing devices execute applications that must meet strict latency requirements as per traditional standardization activities. Achieving the needed performance implies a need for efficiency in all aspects, thus, flexible solutions are needed. In this Ph.D. project, we address this issue for error-tolerant applications by using Coarse-Grained Reconfigurable Arrays (CGRAs) enriched with Approximate Computing (AxC) features. To do so, we aim to develop a CGRA architecture modeling, mapping, and hardware generation flow complete with AxC hardware primitives and significance analysis.",
keywords = "approximate computing, coarse-grained reconfigurable array, computation offloading, mapping",
author = "Hans Damsgaard and Aleksandr Ometov and Jari Nurmi",
year = "2023",
month = sep,
day = "4",
doi = "10.1109/FPL60245.2023.00067",
language = "English",
isbn = "979-8-3503-4152-2",
series = "International Conference on Field Programmable Logic and Applications",
publisher = "IEEE",
pages = "361--362",
booktitle = "International Conference on Field Programmable Logic and Applications (FPL)",
address = "United States",
edition = "33rd",
note = "International Conference on Field-Programmable Logic and Applications ; Conference date: 04-09-2023 Through 08-09-2023",
}