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Pallab Datta
IBM Almaden Research Center
650 Harry Road,
San Jose, CA 95120
Food: Indian (Bengali cuisine), Italian, Thai, Chinese, Mexican
Desired Travel Desinations: Greece, Egypt
Hobbies: Photography, Traveling, Technology Trends
MY FAVORITES
MY CONTACT
Email: pdatta@us.ibm.com
Instant Messaging: pallab.datta@gmail.com
About Myself
Name: Pallab Datta
Gender: MALE
Age: 48 years old
Birthday: December 7th
Hometown: Calcutta, India
Education: Ph.D
School: Iowa State University
Major: Computer Engineering
Occupation: Research
My research focuses on Machine Learning, Artificial Intelligence, Compilers, Networking, High-Performance Computing, Distributed Computing, Optimization techniques and Graph algorithms.
More recently I have been involved in applying by computer science background in understanding the fundamental problems and techniques in modeling the brain and in the design of a platform for neural computation.
Selected Publications:
• Filipp Akopyan, William P Risk, John V Arthur, Andrew S Cassidy, Michael V DeBole, Carlos Ortega Otero, Jun Sawada, Evan Colgan, Michael E Criscolo, Philip V Mann, Heinz Beier, Kai Schleupen, Arnon Amir, Alexander Andreopoulos, Rathinakumar Appuswamy, Deepika Bablani, Pallab Datta, Dharmendra S Modha, et.al "Breakthrough edge AI Inference performance using NorthPole in 3U VPX form factor", IEEE Conference on High Performance Extreme Computing (HPEC) 2024
• Rathinakumar Appuswamy, Michael V DeBole, Brian Taba, Steven K Esser, Andrew S Cassidy, Arnon Amir, Alexander Andreopoulos, Deepika Bablani, Pallab Datta, Jeff A Kusnitz, Dharmendra S Modha, et.al "Breakthrough low-latency, high-energy-efficiency LLM Inference performance using NorthPole", IEEE Conference on High Performance Extreme Computing (HPEC) 2024
• 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, Dharmendra S Modha, et.al "IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip", IEEE International Solid-State Circuits Conference (ISSCC) 2024
• 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, Dharmendra S Modha, et.al "11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip", IEEE International Solid-State Circuits Conference (ISSCC) 2024
• 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 J Garreau, Megumi Ito, Jennifer L Klamo, Jeffrey A Kusnitz, Nathaniel J McClatchey, Jeffrey L McKinstry, Yutaka Nakamura, Tapan K Nayak, William P Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F Smith, Ignacio Terrizzano and Takanori Ueda, "Neural Inference at the frontier of energy, space and time", Science, Vol382, Issue 6668, pp 329-335, 2023.
• 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 J Garreau, Megumi Ito, Jennifer L Klamo, Jeffrey A Kusnitz, Nathaniel J McClatchey, Jeffrey L McKinstry, Yutaka Nakamura, Tapan K Nayak, William P Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F Smith, Ignacio Terrizzano and Takanori Ueda, "IBM NorthPole Neural Inference Machine", IEEE Hot Chips 35 Symposium (HCS), pp 1-58, 2023.
• Michael V.Debole, B.Taba, A.Amir, F.Akopyan, A.Andreopoulus, W.P.Risk, J.Kusnitz, C.Ortega, R.Appuswamy, P.Carlson, A.Cassidy, P.Datta, S.E.Esser, G.Garreau, K.L.Holland, S.Lekuch, M.Mastro, J.Mckinstry, C.DiNolfo, B.Paulovicks, J.Sawada, K. Schleupen, B.Shaw, J.Klamo, M.D.Flickner, J.V.Arthur and Dharmendra.S.Modha, "TrueNorth: Accelerating from Zero to 64 million Neurons in 10 years", Proceedings of IEEE Computer Cognitive Computing Systems, Vol52, 2019.
• J.Sawada, F.Akopyan, A.S.Cassidy, B.Taba, M.V.Debole, P.Datta, R.A.Icaza, A.Amir, J.V.Arthur, A.Andreopoulus, R.Appuswamy, H.Baier, D.Barch, D.J.Berg, C.di.Nolfo, S.K.Esser, M.Flickner, T.A.Horvath, B.L.Jackson, J.Kusnitz, S.Lekuch, M.Mastro, T.Melano, P.Merolla, S.E.Millman, T.K.Nayak, N.Pass, H.E.Penner, W.P.Risk, K.Schleupen, B.Shaw, H.Wu, B.Giera, A.T.Moody, N. Mundhenk, B.C.Essen, E.X.Wang, D.P.Widemann, Q.Wu, W.E.Murphy, J.K.Infantolino, J.A.Ross, D.R.Shires, M.M.Vindiola, R.Namburu and Dharmendra.S.Modha, "TrueNorth Ecosystem for Brain Inspired Computing: Scalable Systems, Software and Applications", Proceedings of ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC16), November 13-17, Salt Lake City, UT, 2016.
• S.K. Esser, P. Merolla, J. Arthur, A.S. Cassidy, R. Appuswamy, A. Andropoulos, D. Berg, J. Mckinstry, T. Melano, D. Barch, C. di Nolfo, P. Datta, A. Amir, B. Taba, M.D. Flickner and Dharmendra S. Modha, "Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing", Proceedings of the National Academy of Sciences,vol.113, no.41, pp.11441-11446, 2016
• S.K. Esser, P. Merolla, J. Arthur, A.S. Cassidy, R. Appuswamy, A. Andropoulos, D. Berg, J. Mckinstry, T. Melano, D. Barch, C. di Nolfo, P. Datta, A. Amir, B. Taba, M.D. Flickner and Dharmendra S. Modha, "Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing", arXiv:1603.08270, 2016
• F. Akopyan, J. Sawada, A.S. Cassidy, R.A. Icaza, J. Arthur, P.A. Merolla, N. Imam, Y. Nakamura, P. Datta, Gi-Joon Nam, B. Taba, M. Beakes, B. Brezzo, J.B. Kuang, R. Manohar, W.P. Risk, B. Jackson and Dharmendra S. Modha, "TrueNorth: Design and Tool Flow of a 65mW 1 Million Neuron Programmable Neurosynaptic Chip", Keynote Paper, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 34(10), pp. 1537-1557, IEEE 2015.
• A. Andreopoulos, B. Taba, A. S. Cassidy, R.A.Icaza, M.D. Flickner, W.P. Risk, A.Amir, P.A. Merolla, J. Arthur, D.J. Berg, J. Kusnitz, P.Datta, S.K. Esser, R. Appuswamy, D.R. Barch and Dharmendra S.Modha, "visual saliency on network of neurosynaptic cores", IBM Journal of Research and Development 05/2015, 59 (2/3), pp. 9:1-9:16, 2015.
• A. S. Cassidy, R.A.Icaza, F. Akopyan, J. Sawada, J.V. Arthur, P.A. Merolla, P. Datta, M.G. Tallada, B. Taba, A. Andreopoulos, A. Amir, S.K. Esser, J. Kusnitz, R. Appuswamy, C. Haymes, B. Brezzo, R. Moussalli, R. Bellofatto, C. Baks, M. Mastro, K. Schleupen, C.E. Cox, K. Inoue, S. Millman, N. Imam, E. McQuinn, Y.K. Nakamura, I. Vo, C. Guok, D. Nguyen, S. Lekuch, S. Asaad, D. Friedman, Bryan L. Jackson, M.D. Flickner, W.P. Risk, R. Manohar and Dharmendra S. Modha, “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”, Proceedings of ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC14), November 16-21, New Orleans, LA, pp. 27-38, 2014. This paper was selected as a finalist in the Gordon Bell Award Category in the Technical Program.
• B. Shaw, A. Cox, P. Besterman, J. Minyard, C. Sassano, R.A. Icaza, A. Andreopoulos, R. Appuswamy, A. Cassidy, S. Chandra, P. Datta, E. Mcquinn, W. Risk and Dharmendra.S. Modha , “Cognitive Computing Commercialization: Boundary Objects for Communication”, IBM Research Technical Report, RJ10509 , August 8, 2013.
• B. Shaw, A. Cox, P. Besterman, J. Minyard, C. Sassano, R.A. Icaza, A. Andreopoulos, R. Appuswamy, A. Cassidy, S. Chandra, P. Datta, E. Mcquinn, W. Risk and D.S. Modha , “Cognitive Computing Commercialization: Boundary Objects for Communication”, Proceedings of International Conference on Integration of Design, Engineering and Management for Innovation (IDEMI 2013), September 4-6, Porto, Portugal, 2013. This paper has been selected for the Best Paper Award in the Technical Program.
• S.K. Esser, A. Andreopoulos, R. Appuswamy, P. Datta, D. Barch, A. Amir, J. Arthur, A. Cassidy, M. Flickner, P. Merolla, S. Chandra, N. Basilico, S. Carpin, T. Zimmerman, F. Zee, R.A. Icaza, J.A. Kusnitz, T.M. Wong, W.P. Risk, E. McQuinn, T.K. Nayak, R. Singh, and D.S. Modha, “Cognitive Computing Systems: Algorithms and Applications for Networks of Neurosynaptic Cores”, Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN 2013), August 4-9, Dallas, TX, 2013.
• A. Amir, P. Datta, W.P. Risk, A.S. Cassidy, J.A. Kusnitz, S.K. Esser, A. Andreopoulos, T.M. Wong, M. Flickner, R.A. Icaza, E. McQuinn, B. Shaw, N. Pass, and D.S. Modha, “Cognitive Computing Programming Paradigm: A Corelet Language for Composing Networks of Neurosynaptic Cores”, Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN 2013), August 4-9, Dallas, TX, 2013.
• A.S. Cassidy, P. Merolla, J.V. Arthur, S.K. Esser, B. Jackson, R.A Icaza, P. Datta, J. Sawada, T.M. Wong, V. Feldman, A. Amir, D.Ben-Dayan Rubin, F. Akopyan, E. McQuinn, W.P. Risk, and D.S. Modha, “Cognitive Computing Building Block: A Versatile and Efficient Digital Neuron Model for Neurosynaptic Cores”, Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN 2013), August 4-9, Dallas, TX, 2013.
• Theodore.M. Wong, R.Preissl, P.Datta, M. Flickner, R.Singh, S.K. Esser, E. McQuinn, K. Appuswamy, W. Risk, Horst.D. Simon and Dharmendra S. Modha, “1014”, IBM Research Technical Report, RJ10502 (ALM1211-004) November 13, 2012.
• R.Preissl, Theodore.M. Wong, P.Datta, M. Flickner, R.Singh, S.K. Esser, W. Risk, Horst.D. Simon and Dharmendra S. Modha, “Compass: a scalable simulator for an architecture for cognitive computing”, Proceedings of ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC12), November 11-16, Salt Lake City, UT, Article.54, 2012. This paper was selected as a finalist in the Best Paper Category in the Technical Program.
• G. Ghyan, P. Datta, S. Tulasidasan and S. Eidenbenz, “Building Realistic and Comprehensive Internet Models”, in Journal of Computer Networks, 54(7), pp. 1169-1182, 2010.
• P. Datta and A. K. Somani, “Graph Transformation Approaches for Diverse Routing in Shared Risk Resource Group (SRRG) failures”, in Journal of Computer Networks, 52(12), pp. 2381-2394, 2008.
• David Coudert, P. Datta, S. Perennes, H. Rivano and M. E. Voge, “Complexity and appoximability issues in Shared-Risk Resource Groups”, in Journal of Parallel Processing Letters, 2007.
• M. T. Fredericks,P. Datta and A. K. Somani, “Sub-Graph Routing: A Generalized Fault-Tolerant Strategy in WDM Optical Networks”, in Journal of Computer Networks, Volume 50, Issue 2 ,8, pp. 181-199, (invited paper), February 2006.
• P. Datta, Wu-Chun Feng and S. Sharma, “End-System Aware Rate-Adaptive Transport Protocol for LambdaGrid Environments”, Proceedings of ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC06), November 11-17, Tampa, FL, pp.112, 2006.
• P. Datta, S. Sharma and Wu-Chun Feng, “A Feedback Mechanism for Network Scheduling in Lambda-Grids”, in 6th IEEE International Conference on Cluster Computing and the Grid –CCGrid 2006, pp.584-591, Singapore, May 2006.