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researcher

S. Gupta

21 papers hereh-index 334.4k citations162 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author15

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.ET6
  • physics.app-ph5
  • cond-mat.mtrl-sci4
  • cs.LG2
  • cond-mat.mes-hall1
  • cs.AR1
same name
  • S. Gupta — 67 papers
  • S. Gupta — 56 papers, h 48
  • S. Gupta — 32 papers, h 21
  • S. Gupta — 29 papers
  • S. Gupta — 28 papers, h 25
  • S. Gupta — 17 papers, h 12

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102024
most citedA Ferroelectric Semiconductor Field-Effect Transistor

645 citations · 999 across the 20 of their papers we have counts for

collaborators
Showing 2023 · cs.ETShow all

3 papers · 2 filters

cs.ET2023

Reimagining Sense Amplifiers: Harnessing Phase Transition Materials for Current and Voltage Sensing

Md Mazharul Islam, Shamiul Alam, Mohammad Adnan Jahangir +5

Energy-efficient sense amplifier (SA) circuits are essential for reliable detection of stored memory states in emerging memory systems. In this work, we present four novel sense am…

cs.ET2023★ 1 cited

Comparative Evaluation of Memory Technologies for Synaptic Crossbar Arrays -- Part I: Robustness-driven Device-Circuit Co-Design and System Implications

Chunguang Wang, Jeffry Victor, Sumeet K. Gupta

In-memory computing (IMC) utilizing synaptic crossbar arrays is promising for energy-efficient deep neural network (DNN) accelerators. Various technologies (CMOS and post-CMOS) hav…

cs.ET2023★ 1 cited

XNOR-VSH: A Valley-Spin Hall Effect-based Compact and Energy-Efficient Synaptic Crossbar Array for Binary Neural Networks

Karam Cho, Sumeet Kumar Gupta

Binary neural networks (BNNs) have shown an immense promise for resource-constrained edge artificial intelligence (AI) platforms as their binarized weights and inputs can significa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.