47 citations · 170 across the 13 of their papers we have counts for
14 papers
A Novel ASIC Design Flow using Weight-Tunable Binary Neurons as Standard Cells
Ankit Wagle, Gian Singh, Sunil Khatri +1
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…
CIDAN: Computing in DRAM with\\Artificial Neurons
Gian Singh, Ankit Wagle, Sarma Vrudhula +1
Numerous applications such as graph processing, cryptography, databases, bioinformatics, etc., involve the repeated evaluation of Boolean functions on large bit vectors. In-memory…
A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells
Ankit Wagle, Sunil Khatri, Sarma Vrudhula
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 w…
Threshold Logic in a Flash
Ankit Wagle, Gian Singh, Jinghua Yang +2
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 thresho…
Response to "Comment on 'Zero and negative energy dissipation at information-theoretic erasure'"
Laszlo B. Kish, Claes-G. Granqvist, Sunil P. Khatri +1
We prove that statistical information theoretic quantities, such as information entropy, cannot generally be interrelated with the lower limit of energy dissipation during informat…
Zero and negative energy dissipation at information-theoretic erasure
Laszlo B. Kish, Claes G. Granqvist, Sunil P. Khatri +1
We introduce information-theoretic erasure based on Shannon's binary channel formula. It is pointed out that this type of erasure is a natural energy-dissipation-free way in which…