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Dharmendra S. Modha
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- affiliation: IBM Research Almaden, San Jose, CA, USA
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2020 – today
- 2024
- [c44]Andrew S. Cassidy, John V. Arthur, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito
, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha:
11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip. ISSCC 2024: 214-215 - 2023
- [c43]Dharmendra S. Modha, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito
IBM NorthPole Neural Inference Machine. HCS 2023: 1-58 - [i10]Deepika Bablani, Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Dharmendra S. Modha:
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference. CoRR abs/2301.13330 (2023) - 2020
- [c42]Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha:
Learned Step Size quantization. ICLR 2020
2010 – 2019
- 2019
- [j23]Michael V. DeBole
TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years. Computer 52(5): 20-29 (2019) - [c41]Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha:
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference. EMC2@NeurIPS 2019: 6-9 - [i9]Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha:
Learned Step Size Quantization. CoRR abs/1902.08153 (2019) - 2018
- [i8]Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha:
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference. CoRR abs/1809.04191 (2018) - [i7]Jeffrey L. McKinstry, Davis R. Barch, Deepika Bablani, Michael DeBole, Steven K. Esser, Jeffrey A. Kusnitz, John V. Arthur, Dharmendra S. Modha:
Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing. CoRR abs/1809.09260 (2018) - 2017
- [j22]Wei-Yu Tsai, Davis R. Barch, Andrew S. Cassidy, Michael V. DeBole, Alexander Andreopoulos, Bryan L. Jackson, Myron D. Flickner, John V. Arthur, Dharmendra S. Modha, John Sampson, Vijaykrishnan Narayanan:
Always-On Speech Recognition Using TrueNorth, a Reconfigurable, Neurosynaptic Processor. IEEE Trans. Computers 66(6): 996-1007 (2017) - [c40]Arnon Amir
A Low Power, Fully Event-Based Gesture Recognition System. CVPR 2017: 7388-7397 - 2016
- [j21]Steven K. Esser, Paul A. Merolla, John V. Arthur, Andrew S. Cassidy, Rathinakumar Appuswamy, Alexander Andreopoulos, David J. Berg, Jeffrey L. McKinstry, Timothy Melano, Davis R. Barch, Carmelo di Nolfo, Pallab Datta, Arnon Amir
Convolutional networks for fast, energy-efficient neuromorphic computing. Proc. Natl. Acad. Sci. USA 113(41): 11441-11446 (2016) - [j20]Bruno U. Pedroni
Mapping Generative Models onto a Network of Digital Spiking Neurons. IEEE Trans. Biomed. Circuits Syst. 10(4): 837-854 (2016) - [c39]Wei-Yu Tsai, Davis R. Barch, Andrew S. Cassidy, Michael V. DeBole, Alexander Andreopoulos, Bryan L. Jackson, Myron D. Flickner, Dharmendra S. Modha, Jack Sampson, Vijaykrishnan Narayanan:
LATTE: Low-power Audio Transform with TrueNorth Ecosystem. IJCNN 2016: 4270-4277 - [c38]Andreas G. Andreou
Real-time sensory information processing using the TrueNorth Neurosynaptic System. ISCAS 2016: 2911 - [c37]Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Brian Taba, Michael V. DeBole, Pallab Datta, Rodrigo Alvarez-Icaza, Arnon Amir
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications. SC 2016: 130-141 - [i6]Steven K. Esser, Paul A. Merolla, John V. Arthur, Andrew S. Cassidy, Rathinakumar Appuswamy, Alexander Andreopoulos, David J. Berg, Jeffrey L. McKinstry, Timothy Melano, Davis R. Barch, Carmelo di Nolfo, Pallab Datta, Arnon Amir, Brian Taba, Myron D. Flickner, Dharmendra S. Modha:
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing. CoRR abs/1603.08270 (2016) - [i5]Paul Merolla, Rathinakumar Appuswamy, John V. Arthur, Steven K. Esser, Dharmendra S. Modha:
Deep neural networks are robust to weight binarization and other non-linear distortions. CoRR abs/1606.01981 (2016) - [i4]Rathinakumar Appuswamy, Tapan K. Nayak, John V. Arthur, Steven K. Esser, Paul Merolla, Jeffrey L. McKinstry, Timothy Melano, Myron Flickner, Dharmendra S. Modha:
Structured Convolution Matrices for Energy-efficient Deep learning. CoRR abs/1606.02407 (2016) - 2015
- [j19]Alexander Andreopoulos, Brian Taba, Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Myron Flickner, William P. Risk, Arnon Amir
Visual saliency on networks of neurosynaptic cores. IBM J. Res. Dev. 59(2/3) (2015) - [j18]Filipp Akopyan, Jun Sawada, Andrew Cassidy, Rodrigo Alvarez-Icaza, John V. Arthur, Paul Merolla, Nabil Imam, Yutaka Y. Nakamura, Pallab Datta, Gi-Joon Nam, Brian Taba, Michael P. Beakes, Bernard Brezzo, Jente B. Kuang, Rajit Manohar, William P. Risk, Bryan L. Jackson, Dharmendra S. Modha:
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(10): 1537-1557 (2015) - [c36]Dharmendra S. Modha:
Brain-Inspired Computing. PACT 2015: 253 - [c35]Srinjoy Das, Bruno Umbria Pedroni, Paul Merolla, John V. Arthur, Andrew S. Cassidy, Bryan L. Jackson, Dharmendra S. Modha, Gert Cauwenberghs
Gibbs sampling with low-power spiking digital neurons. ISCAS 2015: 2704-2707 - [c34]Steven K. Esser, Rathinakumar Appuswamy, Paul Merolla, John V. Arthur, Dharmendra S. Modha:
Backpropagation for Energy-Efficient Neuromorphic Computing. NIPS 2015: 1117-1125 - [i3]Srinjoy Das, Bruno U. Pedroni, Paul Merolla, John V. Arthur, Andrew S. Cassidy, Bryan L. Jackson, Dharmendra S. Modha, Gert Cauwenberghs, Kenneth Kreutz-Delgado:
Gibbs Sampling with Low-Power Spiking Digital Neurons. CoRR abs/1503.07793 (2015) - [i2]Bruno U. Pedroni, Srinjoy Das, John V. Arthur, Paul Merolla, Bryan L. Jackson, Dharmendra S. Modha, Kenneth Kreutz-Delgado, Gert Cauwenberghs:
Mapping Generative Models onto Networks of Digital Spiking Neurons. CoRR abs/1509.07302 (2015) - 2014
- [c33]Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Filipp Akopyan, Jun Sawada, John V. Arthur, Paul Merolla, Pallab Datta, Marc González Tallada, Brian Taba, Alexander Andreopoulos, Arnon Amir
Real-Time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with ~100× Speedup in Time-to-Solution and ~100, 000× Reduction in Energy-to-Solution. SC 2014: 27-38 - 2013
- [j17]Bryan L. Jackson, Bipin Rajendran
Nanoscale electronic synapses using phase change devices. ACM J. Emerg. Technol. Comput. Syst. 9(2): 12:1-12:20 (2013) - [c32]Jun Sawada, Dharmendra S. Modha:
SyNAPSE: Jun Sawada. ACSD 2013 - [c31]Arnon Amir
Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores. IJCNN 2013: 1-10 - [c30]Andrew S. Cassidy, Paul Merolla, John V. Arthur, Steven K. Esser, Bryan L. Jackson, Rodrigo Alvarez-Icaza, Pallab Datta, Jun Sawada, Theodore M. Wong, Vitaly Feldman, Arnon Amir
Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores. IJCNN 2013: 1-10 - [c29]Steven K. Esser, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Davis Barch, Arnon Amir
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores. IJCNN 2013: 1-10 - 2012
- [c28]Nabil Imam, Filipp Akopyan, John V. Arthur, Paul Merolla, Rajit Manohar, Dharmendra S. Modha:
A Digital Neurosynaptic Core Using Event-Driven QDI Circuits. ASYNC 2012: 25-32 - [c27]John V. Arthur, Paul Merolla, Filipp Akopyan, Rodrigo Alvarez-Icaza, Andrew Cassidy, Shyamal Chandra, Steven K. Esser, Nabil Imam, William P. Risk, Daniel Ben Dayan Rubin
Building block of a programmable neuromorphic substrate: A digital neurosynaptic core. IJCNN 2012: 1-8 - [c26]Robert Preissl, Theodore M. Wong, Pallab Datta, Myron Flickner, Raghavendra Singh, Steven K. Esser, William P. Risk, Horst D. Simon
Compass: a scalable simulator for an architecture for cognitive computing. SC 2012: 54 - [i1]Narayana P. Santhanam, Dharmendra S. Modha:
Optimal Lempel-Ziv based lossy compression for memoryless data: how to make the right mistakes. CoRR abs/1210.4700 (2012) - 2011
- [j16]Dharmendra S. Modha, Rajagopal Ananthanarayanan, Steven K. Esser, Anthony Ndirango, Anthony J. Sherbondy, Raghavendra Singh:
Cognitive computing. Commun. ACM 54(8): 62-71 (2011) - [c25]Narayana Prasad Santhanam, Dharmendra S. Modha:
Lossy Lempel-Ziv like compression algorithms for memoryless sources. Allerton 2011: 1751-1756 - [c24]Paul Merolla, John V. Arthur, Filipp Akopyan, Nabil Imam, Rajit Manohar, Dharmendra S. Modha:
A digital neurosynaptic core using embedded crossbar memory with 45pJ per spike in 45nm. CICC 2011: 1-4 - [c23]Jae-sun Seo, Bernard Brezzo, Yong Liu, Benjamin D. Parker, Steven K. Esser, Robert K. Montoye, Bipin Rajendran
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons. CICC 2011: 1-4 - 2010
- [c22]Steven K. Esser, Anthony Ndirango, Dharmendra S. Modha:
Binding sparse spatiotemporal patterns in spiking computation. IJCNN 2010: 1-9
2000 – 2009
- 2009
- [c21]Anthony J. Sherbondy, Robert F. Dougherty, Rajagopal Ananthanarayanan, Dharmendra S. Modha, Brian A. Wandell:
Think Global, Act Local; Projectome Estimation with BlueMatter. MICCAI (1) 2009: 861-868 - [c20]Rajagopal Ananthanarayanan, Steven K. Esser, Horst D. Simon
The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses. SC 2009 - 2007
- [j15]Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha:
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation. J. Mach. Learn. Res. 8: 1919-1986 (2007) - [c19]Rajagopal Ananthanarayanan, Dharmendra S. Modha:
Anatomy of a cortical simulator. SC 2007: 3 - 2006
- [c18]Dharmendra S. Modha, Narayana P. Santhanam:
Making the Correct Mistakes. DCC 2006: 302-311 - [c17]Justin Brickell, Inderjit S. Dhillon, Dharmendra S. Modha:
Adaptive Website Design Using Caching Algorithms. WEBKDD 2006: 1-20 - 2005
- [c16]Binny S. Gill, Dharmendra S. Modha:
WOW: Wise Ordering for Writes - Combining Spatial and Temporal Locality in Non-Volatile Caches. FAST 2005 - [c15]Binny S. Gill, Dharmendra S. Modha:
SARC: Sequential Prefetching in Adaptive Replacement Cache. USENIX ATC, General Track 2005: 293-308 - 2004
- [j14]Nimrod Megiddo, Dharmendra S. Modha:
Outperforming LRU with an Adaptive Replacement Cache Algorithm. Computer 37(4): 58-65 (2004) - [c14]Sorav Bansal, Dharmendra S. Modha:
CAR: Clock with Adaptive Replacement. FAST 2004: 187-200 - [c13]Dharmendra S. Modha, Daniela Pucci de Farias:
Finite-state rate-distortion for individual sequences. ISIT 2004: 562 - [c12]Deepayan Chakrabarti
Fully automatic cross-associations. KDD 2004: 79-88 - [c11]Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha:
A generalized maximum entropy approach to bregman co-clustering and matrix approximation. KDD 2004: 509-514 - 2003
- [j13]Dharmendra S. Modha, W. Scott Spangler:
Feature Weighting in k-Means Clustering. Mach. Learn. 52(3): 217-237 (2003) - [j12]Nimrod Megiddo, Dharmendra S. Modha:
One Up on LRU. login Usenix Mag. 28(4) (2003) - [c10]Dharmendra S. Modha:
Codelet Parsing: Quadratic-time, Sequential, Adaptive Algorithms for Lossy Compression. DCC 2003: 223-232 - [c9]Nimrod Megiddo, Dharmendra S. Modha:
ARC: A Self-Tuning, Low Overhead Replacement Cache. FAST 2003 - [c8]Pawan Goyal, Divyesh Jadav, Dharmendra S. Modha, Renu Tewari:
CacheCOW: QoS for Storage System Caches. IWQoS 2003: 498-515 - [c7]Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha:
Information-theoretic co-clustering. KDD 2003: 89-98 - [c6]Pawan Goyal, Dharmendra S. Modha, Renu Tewari:
CacheCOW: providing QoS for storage system caches. SIGMETRICS 2003: 306-307 - 2002
- [j11]Inderjit S. Dhillon, Dharmendra S. Modha, W. Scott Spangler:
Class visualization of high-dimensional data with applications. Comput. Stat. Data Anal. 41(1): 59-90 (2002) - [j10]Larry J. Stockmeyer, Dharmendra S. Modha:
Links between complexity theory and constrained block coding. IEEE Trans. Inf. Theory 48(1): 59-88 (2002) - 2001
- [j9]Dharmendra S. Modha, Brian H. Marcus:
Art of constructing low-complexity encoders/decoders for constrained block codes. IEEE J. Sel. Areas Commun. 19(4): 589-601 (2001) - [j8]Roy D. Cideciyan, Evangelos Eleftheriou, Brian H. Marcus, Dharmendra S. Modha:
Maximum transition run codes for generalized partial response channels. IEEE J. Sel. Areas Commun. 19(4): 619-634 (2001) - [j7]Inderjit S. Dhillon, Dharmendra S. Modha:
Concept Decompositions for Large Sparse Text Data Using Clustering. Mach. Learn. 42(1/2): 143-175 (2001) - [c5]Larry J. Stockmeyer, Dharmendra S. Modha:
Links Between Complexity Theory and Constrained Block Coding. CCC 2001: 226-243 - [c4]Jorge Campello, Dharmendra S. Modha:
Extended bit-filling and LDPC code design. GLOBECOM 2001: 985-989 - [c3]Jorge Campello, Dharmendra S. Modha, Sridhar Rajagopalan:
Designing LDPC codes using bit-filling. ICC 2001: 55-59 - 2000
- [j6]Isaac L. Chuang, Dharmendra S. Modha:
Reversible arithmetic coding for quantum data compression. IEEE Trans. Inf. Theory 46(3): 1104-1116 (2000) - [c2]Dharmendra S. Modha, W. Scott Spangler:
Clustering hypertext with applications to web searching. Hypertext 2000: 143-152
1990 – 1999
- 1999
- [c1]Inderjit S. Dhillon, Dharmendra S. Modha:
A Data-Clustering Algorithm on Distributed Memory Multiprocessors. Large-Scale Parallel Data Mining 1999: 245-260 - 1998
- [j5]Dharmendra S. Modha, Elias Masry:
Prequential and Cross-Validated Regression Estimation. Mach. Learn. 33(1): 5-39 (1998) - [j4]Dharmendra S. Modha, Elias Masry:
Memory-Universal Prediction of Stationary Random Processes. IEEE Trans. Inf. Theory 44(1): 117-133 (1998) - 1996
- [j3]Dharmendra S. Modha, Elias Masry:
Rate of Convergence in Density Estimation Using Neural Networks. Neural Comput. 8(5): 1107-1122 (1996) - [j2]Dharmendra S. Modha, Elias Masry:
Minimum complexity regression estimation with weakly dependent observations. IEEE Trans. Inf. Theory 42(6): 2133-2145 (1996) - 1994
- [j1]Dharmendra S. Modha, Yeshaiahu Fainman:
A learning law for density estimation. IEEE Trans. Neural Networks 5(3): 519-523 (1994)
Coauthor Index
Andrew S. Cassidy
aka: Andrew Cassidy
aka: Andrew Cassidy
Myron Flickner
aka: Myron D. Flickner
aka: Myron D. Flickner
Paul Merolla
aka: Paul A. Merolla
aka: Paul A. Merolla
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last updated on 2024-10-07 22:09 CEST by the dblp team
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