Zobrazeno 1 - 10
of 343
pro vyhledávání: '"VRUDHULA, SARMA"'
Autor:
Kim, Gyudong, Ghasemi, Mehdi, Heidari, Soroush, Kim, Seungryong, Kim, Young Geun, Vrudhula, Sarma, Wu, Carole-Jean
Federated Learning (FL) is a practical approach to train deep learning models collaboratively across user-end devices, protecting user privacy by retaining raw data on-device. In FL, participating user-end devices are highly fragmented in terms of ha
Externí odkaz:
http://arxiv.org/abs/2403.04207
Autor:
Sudarshan, Chetan Choppali, Matkar, Nikhil, Vrudhula, Sarma, Sapatnekar, Sachin S., Chhabria, Vidya A.
Decades of progress in energy-efficient and low-power design have successfully reduced the operational carbon footprint in the semiconductor industry. However, this has led to an increase in embodied emissions, encompassing carbon emissions arising f
Externí odkaz:
http://arxiv.org/abs/2306.09434
In this paper, we describe a design of a mixed signal circuit for a binary neuron (a.k.a perceptron, threshold logic gate) and a methodology for automatically embedding such cells in ASICs. The binary neuron, referred to as an FTL (flash threshold lo
Externí odkaz:
http://arxiv.org/abs/2204.08070
Numerous applications such as graph processing, cryptography, databases, bioinformatics, etc., involve the repeated evaluation of Boolean functions on large bit vectors. In-memory architectures which perform processing in memory (PIM) are tailored fo
Externí odkaz:
http://arxiv.org/abs/2112.00117
This paper presents TULIP, a new architecture for a binary neural network (BNN) that uses an optimal schedule for executing the operations of an arbitrary BNN. It was constructed with the goal of maximizing energy efficiency per classification. At th
Externí odkaz:
http://arxiv.org/abs/2104.01699
Object detection using deep neural networks (DNNs) involves a huge amount of computation which impedes its implementation on resource/energy-limited user-end devices. The reason for the success of DNNs is due to having knowledge over all different do
Externí odkaz:
http://arxiv.org/abs/2004.05746
Publikováno v:
In Solid State Electronics November 2023 209
Autor:
Azari, Elham, Vrudhula, Sarma
The next significant step in the evolution and proliferation of artificial intelligence technology will be the integration of neural network (NN) models within embedded and mobile systems. This calls for the design of compact, energy efficient NN mod
Externí odkaz:
http://arxiv.org/abs/1910.08683
This paper describes a novel design of a threshold logic gate (a binary perceptron) and its implementation as a standard cell. This new cell structure, referred to as flash threshold logic (FTL), uses floating gate (flash) transistors to realize the
Externí odkaz:
http://arxiv.org/abs/1910.04910
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