Energon: Toward efficient acceleration of transformers using dynamic sparse attention
In recent years, transformer models have revolutionized natural language processing (NLP)
and shown promising performance on computer vision (CV) tasks. Despite their …
and shown promising performance on computer vision (CV) tasks. Despite their …
QuantMAC: Enhancing Hardware Performance in DNNs With Quantize Enabled Multiply-Accumulate Unit
In response to the escalating demand for hardware-efficient Deep Neural Network (DNN)
architectures, we present a novel quantize-enabled multiply-accumulate (MAC) unit. Our …
architectures, we present a novel quantize-enabled multiply-accumulate (MAC) unit. Our …
SET Effects on Quasi Delay Insensitive and Synchronous Circuits
Z Tabassam, A Steininger - 2023 IEEE European Test …, 2023 - ieeexplore.ieee.org
Due to their unbounded data accepting windows asynchronous circuits seem to be more
susceptible to environmental effects than their synchronous counterparts with their strict data …
susceptible to environmental effects than their synchronous counterparts with their strict data …
Advancing machine learning tasks with field-programmable gate arrays: advantages, applications, challenges, and future perspectives
D Ma - … International Conference on Electrical, Electronics, and …, 2024 - spiedigitallibrary.org
This article comprehensively explores the applications, advantages, and challenges of using
Field-Programmable Gate Arrays (FPGAs) to enhance machine learning tasks. It fills a gap …
Field-Programmable Gate Arrays (FPGAs) to enhance machine learning tasks. It fills a gap …
Stream Processor Development using Multi-Threshold NULL Convention Logic Asynchronous Design Methodology
W Khalil - 2023 - search.proquest.com
Decreasing transistor feature size has led to an increase in the number of transistors in
integrated circuits (IC), allowing for the implementation of more complex logic. However …
integrated circuits (IC), allowing for the implementation of more complex logic. However …