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   Articles with "cgra" as a keyword



Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning

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recommendations! Published in 2019 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2018.2878183

Abstract: Coarse-grained reconfigurable architectures (CGRAs) have drawn increasing attention due to their flexibility and energy efficiency. Data flow graphs (DFGs) are often mapped onto CGRAs for acceleration. The problem of DFG mapping is challenging due to… read more here.

Keywords: flow graph; cgra; reinforcement learning; deep reinforcement ... See more keywords

Specializing CGRAs for Light-Weight Convolutional Neural Networks

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recommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2021.3123178

Abstract: Deep neural network (DNN) processing units, or DPUs, are one of the most energy-efficient platforms for DNN applications. However, designing new DPUs for every DNN model is very costly and time consuming. In this article,… read more here.

Keywords: specializing cgras; cgra; light weight; cgras light ... See more keywords

HiMap: Fast and Scalable High-Quality Mapping on CGRA via Hierarchical Abstraction

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recommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2021.3132551

Abstract: Coarse-grained reconfigurable array (CGRA) has emerged as a promising hardware accelerator due to the excellent balance between reconfigurability, performance, and energy efficiency. The performance of a CGRA strongly depends on the existence of a high-quality… read more here.

Keywords: italic himap; cgra; himap italic; tex math ... See more keywords

CTFE: A High-Efficient Heterogeneous Cryptographic CGRA for Diverse Security Applications

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recommendations! Published in 2025 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2024.3490176

Abstract: Nowadays, cryptographic computation across various security applications necessitates the development of hardware that is not only fast and power-efficient but also flexible enough to support a range of cryptographic algorithms. Unfortunately, existing computing platforms for… read more here.

Keywords: cgra; security applications; efficient; cryptography ... See more keywords