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pro vyhledávání: '"Reidy, Brendan"'
Autor:
Reidy, Brendan, Tabrizchi, Sepehr, Mohammadi, Mohamadreza, Angizi, Shaahin, Roohi, Arman, Zand, Ramtin
With the rise of tiny IoT devices powered by machine learning (ML), many researchers have directed their focus toward compressing models to fit on tiny edge devices. Recent works have achieved remarkable success in compressing ML models for object de
Externí odkaz:
http://arxiv.org/abs/2408.03956
Autor:
Morsali, Mehrdad, Reidy, Brendan, Najafi, Deniz, Tabrizchi, Sepehr, Imani, Mohsen, Nikdast, Mahdi, Roohi, Arman, Zand, Ramtin, Angizi, Shaahin
This paper proposes a high-performance and energy-efficient optical near-sensor accelerator for vision applications, called Lightator. Harnessing the promising efficiency offered by photonic devices, Lightator features innovative compressive acquisit
Externí odkaz:
http://arxiv.org/abs/2403.05037
Tensor processing units (TPUs), specialized hardware accelerators for machine learning tasks, have shown significant performance improvements when executing convolutional layers in convolutional neural networks (CNNs). However, they struggle to maint
Externí odkaz:
http://arxiv.org/abs/2304.09258
In this paper, we develop an in-memory analog computing (IMAC) architecture realizing both synaptic behavior and activation functions within non-volatile memory arrays. Spin-orbit torque magnetoresistive random-access memory (SOT-MRAM) devices are le
Externí odkaz:
http://arxiv.org/abs/2105.13904
In this paper, we utilize deep convolutional neural networks (CNNs) to classify the morphology of through-silicon via (TSV) extrusion in three dimensional (3D) integrated circuits (ICs). TSV extrusion is a crucial reliability concern which can deform
Externí odkaz:
http://arxiv.org/abs/2009.10692
Autor:
Reidy, Brendan, Zand, Ramtin
In this paper, the intrinsic physical characteristics of spin-orbit torque (SOT) magnetoresistive random-access memory (MRAM) devices are leveraged to realize sigmoidal neurons in neuromorphic architectures. Performance comparisons with the previous
Externí odkaz:
http://arxiv.org/abs/2006.01238
Autor:
Tabrizchi, Sepehr, Reidy, Brendan C., Najafi, Deniz, Angizi, Shaahin, Zand, Ramtin, Roohi, Arman
Publikováno v:
IEEE Embedded Systems Letters; Dec2024, Vol. 16 Issue 4, p341-344, 4p
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