IMAX: A Power-Efficient Multilevel Pipelined CGLA and Applications

The rapid advancement of artificial intelligence (AI) applications has driven a growing need for flexible and highly efficient hardware architectures. To address these demands, we propose IMAX, a novel coarse-grained linear array (CGLA) architecture that alternates cache memory and processing units...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Tomoya Akabe, Vu Trung Duong LE, Yasuhiko Nakashima
Format: Article
Language:English
Published: IEEE 2025-01-01
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10818660/