A survey on approximate multiplier designs for energy efficiency: From algorithms to circuits

Y Wu, C Chen, W Xiao, X Wang, C Wen, J Han… - ACM Transactions on …, 2024 - dl.acm.org
Given the stringent requirements of energy efficiency for Internet-of-Things edge devices,
approximate multipliers, as a basic component of many processors and accelerators, have …

SparseAdapt: Runtime control for sparse linear algebra on a reconfigurable accelerator

S Pal, A Amarnath, S Feng, M O'Boyle… - MICRO-54: 54th Annual …, 2021 - dl.acm.org
Dynamic adaptation is a post-silicon optimization technique that adapts the hardware to
workload phases. However, current adaptive approaches are oblivious to implicit phases …

Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane

J Deng, X Tang, J Zhang, Y Li, L Zhang, B Han… - Proceedings of the 56th …, 2023 - dl.acm.org
Spatial architecture is a high-performance architecture that uses control flow graphs and
data flow graphs as the computational model and producer/consumer models as the …

ASAP: automatic synthesis of area-efficient and precision-aware CGRAs

C Tan, T Tambe, J Zhang, B Fang, T Geng… - Proceedings of the 36th …, 2022 - dl.acm.org
Coarse-grained reconfigurable accelerators (CGRAs) are a promising accelerator design
choice that strikes a balance between performance and adaptability to different computing …

Vecpac: A vectorizable and precision-aware cgra

C Tan, D Patil, A Tumeo, G Weisz… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
Coarse-grained reconfigurable arrays (CGRAs) are a promising solution to accelerate
applications from several domains, thanks to their balance between the performance …

A Coarse Grained Reconfigurable Architecture for the Realization of Turbo Encoder

Y Gopinathan, S Sekhar, B Yamuna… - 2024 IEEE Region …, 2024 - ieeexplore.ieee.org
The class of programmable logic devices called as the coarse grained reconfigurable
architectures (CGRAs) are becoming prominent because of their innate coarse grain …