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Dharmendra S. Modha

Dharmendra S. Modha

D-Index & Metrics

Computer Science

D-Index
65
Citations
27448
World Ranking
2397
National Ranking
1196

Research.com Recognitions

  • 2009 - ACM Gordon Bell Prize The Cat is Out of the Bag: Cortical Simulations with 109 Neurons, 1013 Synapses

Overview

Dharmendra S. Modha is affiliated with IBM in the United States and conducts research primarily in the fields of Computer Science and Engineering. Their work spans multiple subfields, with a focus on Artificial Intelligence, Electrical and Electronic Engineering, and Cellular and Molecular Neuroscience.

The areas of research and topics that Dharmendra S. Modha has been involved with include:

  • Advanced Memory and Neural Computing
  • CCD and CMOS Imaging Sensors
  • Neuroscience and Neural Engineering
  • Neural Networks and Applications
  • Natural Language Processing Techniques
  • Topic Modeling

Modha's recent publications reflect a concentration on neural networks, energy-efficient computation, and language model quantization. Notable papers include:

  • Neural inference at the frontier of energy, space, and time, 2023, published in Science
  • Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference, 2023, published on arXiv (Cornell University)
  • SiLQ: Simple Large Language Model Quantization-Aware Training, 2025, published on arXiv (Cornell University)

The venues where Modha has frequently published are arXiv (Cornell University), with two publications, and Science, with one publication.

Dharmendra S. Modha has collaborated frequently with a number of co-authors, including:

  • Steven K. Esser
  • Rathinakumar Appuswamy
  • Deepika Bablani
  • Jeffrey L. McKinstry
  • Filipp Akopyan

In 2009, Modha was awarded the ACM Gordon Bell Prize for work titled "The Cat is Out of the Bag: Cortical Simulations with 10^9 Neurons, 10^13 Synapses."

Best Publications

  • A million spiking-neuron integrated circuit with a scalable communication network and interface

    Paul A. Merolla;John V. Arthur;Rodrigo Alvarez-Icaza;Andrew S. Cassidy

  • Concept Decompositions for Large Sparse Text Data Using Clustering

    Inderjit S. Dhillon;Dharmendra S. Modha

  • Information-theoretic co-clustering

    Inderjit S. Dhillon;Subramanyam Mallela;Dharmendra S. Modha

  • TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip

    Filipp Akopyan;Jun Sawada;Andrew Cassidy;Rodrigo Alvarez-Icaza

  • ARC: a self-tuning, low overhead replacement cache

    Nimrod Megiddo;Dharmendra S. Modha

  • A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation

    Arindam Banerjee;Inderjit Dhillon;Joydeep Ghosh;Srujana Merugu

  • Convolutional networks for fast, energy-efficient neuromorphic computing

    Steven K. Esser;Paul A. Merolla;John V. Arthur;Andrew S. Cassidy

  • A Low Power, Fully Event-Based Gesture Recognition System

    Arnon Amir;Brian Taba;David Berg;Timothy Melano

  • Backpropagation for energy-efficient neuromorphic computing

    Steve K. Esser;Rathinakumar Appuswamy;Paul A. Merolla;John V. Arthur

  • A Data-Clustering Algorithm on Distributed Memory Multiprocessors

    Inderjit S. Dhillon;Dharmendra S. Modha

  • A digital neurosynaptic core using embedded crossbar memory with 45pJ per spike in 45nm

    Paul Merolla;John Arthur;Filipp Akopyan;Nabil Imam

  • Feature Weighting in k -Means Clustering

    Dharmendra S. Modha;W. Scott Spangler

  • Cognitive computing

    Dharmendra S. Modha;Rajagopal Ananthanarayanan;Steven K. Esser;Anthony Ndirango

  • A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons

    Jae-sun Seo;Bernard Brezzo;Yong Liu;Benjamin D. Parker

  • Fully automatic cross-associations

    Deepayan Chakrabarti;Spiros Papadimitriou;Dharmendra S. Modha;Christos Faloutsos

  • The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses

    Rajagopal Ananthanarayanan;Steven K. Esser;Horst D. Simon;Dharmendra S. Modha

  • CAR: Clock with Adaptive Replacement

    Sorav Bansal;Dharmendra S. Modha

  • LEARNED STEP SIZE QUANTIZATION

    Steven K. Esser;Jeffrey L. McKinstry;Deepika Bablani;Rathinakumar Appuswamy

  • System and method for adaptively managing pages in a memory

    Nimrod Megiddo;Dharmendra Shantilal Modha

  • Network architecture of the long-distance pathways in the macaque brain

    Dharmendra S. Modha;Raghavendra Singh

  • Outperforming LRU with an adaptive replacement cache algorithm

    N. Megiddo;D.S. Modha

Frequent Co-Authors

Myron D. Flickner
Myron D. Flickner IBM (United States)
Arnon Amir
Arnon Amir IBM (United States)
Bipin Rajendran
Bipin Rajendran King's College London
Matthew J. Breitwisch
Matthew J. Breitwisch IBM (United States)
Inderjit S. Dhillon
Inderjit S. Dhillon Google (United States)
Rajit Manohar
Rajit Manohar Yale University
Nimrod Megiddo
Nimrod Megiddo IBM (United States)
Daniel J. Friedman
Daniel J. Friedman IBM (United States)
Leland Chang
Leland Chang IBM Research - Thomas J. Watson Research Center
Subramanian S. Iyer
Subramanian S. Iyer University of California, Los Angeles

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