Výsledky vyhledávání - "Sestito, Cristian"

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TrIM: Triangular Input Movement Systolic Array for Convolutional Neural Networks -- Part II: Architecture and Hardware Implementation

Autor: Sestito, Cristian, Agwa, Shady, Prodromakis, Themis

Modern hardware architectures for Convolutional Neural Networks (CNNs), other than targeting high performance, aim at dissipating limited energy. Reducing the data movement cost between the computing cores and the memory is a way to mitigate the ener

Externí odkaz: http://arxiv.org/abs/2408.10243

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TrIM: Triangular Input Movement Systolic Array for Convolutional Neural Networks -- Part I: Dataflow and Analytical Modelling

Autor: Sestito, Cristian, Agwa, Shady, Prodromakis, Themis

In order to follow the ever-growing computational complexity and data intensity of state-of-the-art AI models, new computing paradigms are being proposed. These paradigms aim at achieving high energy efficiency, by mitigating the Von Neumann bottlene

Externí odkaz: http://arxiv.org/abs/2408.01254

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