Michael P. Perrone  Michael P. Perrone photo       

contact information

AI Partnerships Program Director
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash1779

links



2013

Maximizing TTI RTM Throughput for CPU+ GPU
D Wade, A Narang, S Kumar, J Soman, M Perrone, K Bendiksen, V Sl\'ltten, TE Rabben
75th EAGE Conference \& Exhibition incorporating SPE EUROPEC 2013

Determination of performance characteristics of scientific applications on IBM Blue Gene/Q
Constantinos Evangelinos, RE Walkup, Vipin Sachdeva, Kirk E Jordan, Hormozd Gahvari, I-H Chung, Michael P Perrone, Ligang Lu, L-K Liu, K Magerlein
IBM Journal of Research and Development 57(1/2), 9--1, IBM, 2013

Performance optimizations for TTI RTM on GPU based hybrid architectures
Narang, Ankur and Kumar, Suraj and Das, Ananda S and Perrone, Michael and Wade, David and Bendiksen, Kristian and Slatten, V and Rabben, Tor Erik
Biennial International Conference & Exposition, 2013
Abstract


2012


Coupling a basin modeling and a seismic code using MOAB
Mi Yan, Kirk Jordan, Dinesh Kaushik, Michael Perrone, Vipin Sachdeva, Timothy J Tautges, John Magerlein
Procedia Computer Science9, 986--993, Elsevier, 2012

SmartGrid: analytics for the electric grid of the future
Robert Enenkel, Michael Perrone
Proceedings of the 2012 Conference of the Center for Advanced Studies on Collaborative Research, pp. 235--236

Reducing data movement costs: Scalable seismic imaging on blue gene
Michael Perrone, Lurng-Kuo Liu, Ligang Lu, Karen Magerlein, Changhoan Kim, Irina Fedulova, Artyom Semenikhin
Parallel \& Distributed Processing Symposium (IPDPS), 2012 IEEE 26th International, pp. 320--329

Preface
Pierre Bonami, Leo Liberti, Andrew J. Miller, Annick Sartenaer
Math. Program. 136(2), 229--231, 2012


2011

High performance computing of line of sight viewshed
Ligang Lu, Brent Paulovicks, Michael Perrone, Vedim Sheinin
Multimedia and Expo (ICME), 2011 IEEE International Conference on, pp. 1--6

High performance RTM using massive domain partitioning
MP Perrone, L Lu, L Liu, I Fedulova, A Semenikhin, V Gorbik
73rd EAGE Conference \& Exhibition, 2011


2010

Cell blade based H. 264 video encoding engine for large scale video surveillance applications
Ligang Lu, Brent Paulovicks, Vadim Sheinin, Michael Perrone
Visual Communications and Image Processing 2010, pp. 774421--774421

Practical VTI RTM
MP Perrone, H Zhou, G Fossum, R Todd
72nd EAGE Conference \& Exhibition, 2010

Fast Scalable Reverse Time Migration Seismic Imaging on Blue Gene/P
Michael Perrone, Lurng-Kuo Liu, Ligang Lu, Karen Magerlein, Changhoan Kim, Irina Fedulova, Artyom Semenikhin
2010 - public.dhe.ibm.com

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison
Bijia Pang, Ue-li Pen, Michael Perrone
arXiv preprint arXiv:1004.1680, 2010

Novel Performance Optimization of Large-scale Discrete-event Simulation on the Cell Broadband Engine
Qi Liu, Gabriel Wainer, Ligang Lu, Michael Perrone
The 2010 International Conference on High Performance Computing & Simulation (HPCS 2010), pp. 108-114


2009

Multicore Programming Challenges
Michael Perrone
Euro-Par 2009 Parallel Processing, pp. 1--2, Springer

CO2+ CH4 chemistry over Pd: Results of kinetic simulations relevant to environmental issues
Harrell Sellers, Raymond J Spiteri, Michael Perrone
The Journal of Physical Chemistry C 113(6), 2340--2346, ACS Publications, 2009

Fulcrum's FocalPoint FM4000: A Scalable, Low-Latency 10GigE Switch for High-Performance Data Centers
Uri Cummings, Dan Daly, Rebecca Collins, Virat Agarwal, Fabrizio Petrini, Michael Perrone, Davide Pasetto
High Performance Interconnects, 2009. HOTI 2009. 17th IEEE Symposium on, pp. 42--51

Faster FAST: multicore acceleration of streaming financial data
V. Agarwal, D.A. Bader, L. Dan, L.K. Liu, D. Pasetto, M. Perrone, F. Petrini
Computer Science-Research and Development 23(3), 249--257, Springer, 2009


2008

The Implications of Multicore Processor for High Performance Computing
MP Perrone
70th EAGE Conference \& Exhibition-Workshops and Fieldtrips, 2008

HMMer-Cell: High performance protein profile searching on the Cell/BE processor
Jizhu Lu, Michael Perrone, Kursad Albayraktaroglu, Manoj Franklin
Performance Analysis of Systems and software, 2008. ISPASS 2008. IEEE International Symposium on, pp. 223--232


2007

Speech recognition systems on the Cell Broadband Engine
Y Liu, H Jones, S Vaidya, M Perrone, B Tydlitat, A Nanda
IBM Journal of Research and Development, vol. 51, no. 5, August 11, 2007, pp. 583-592 51(UCRL-JRNL-230195), Lawrence Livermore National Laboratory (LLNL), Livermore, CA

Speech recognition systems on the Cell Broadband Engine processor
Yang Liu, Holger Jones, Sheila Vaidya, Michael Perrone, Borivoj Tydlitat, Ashwini K Nanda
IBM Journal of Research and Development 51(5), 583--591, IBM, 2007

Multicore surprises: Lessons learned from optimizing Sweep3D on the Cell Broadband Engine
Fabrizio Petrini, Gordon Fossum, Juan Fern\'andez, Ana Lucia Varbanescu, N Kistler, Michael Perrone
Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International, pp. 1--10


2006

Cell BE software programming and toolkits
Perrone, Michael P and Sowadagar, Tanaz
Proceedings of the 2006 ACM/IEEE conference on Supercomputing, pp. 10
Abstract

Confidence modeling for handwriting recognition: algorithms and applications
John F Pitrelli, Jayashree Subrahmonia, Michael P Perrone
International Journal of Document Analysis and Recognition (IJDAR) 8(1), 35--46, Springer, 2006



2005

Pre-processing methods for handwritten Arabic documents
Faisal Farooq, Venu Govindaraju, Michael Perrone
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on, pp. 267--271


2003

Combining online and offline handwriting recognition
Vinciarelli, Alessandro and Perrone, Michael
Proceedings of the Seventh International Conference on Document Analysis and Recognition-Volume 2, pp. 844, 2003
Abstract

Markov Model Document Retrieval
Michael Perrone, Alessandro Vinciarelli
2013 12th International Conference on Document Analysis and Recognition, pp. 1223--1223, 2003

EM mixture model probability table compression
Sung-Jung Cho, Michael Perrone, Eugene Ratzlaff
Acoustics, Speech, and Signal Processing, 2003. Proceedings.(ICASSP'03). 2003 IEEE International Conference on, pp. II--813


Confidence-scoring post-processing for off-line handwritten-character recognition verification
John F Pitrelli, Michael P Perrone
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on, pp. 278--282


2002

On-line handwriting recognition using character bigram match vectors
Adnan El-Nasan, Michael Perrone
Frontiers in Handwriting Recognition, 2002. Proceedings. Eighth International Workshop on, pp. 67--71

Handwritten document retrieval
Gregory Russell, Michael P Perrone, Yi-min Chee, Airnan Ziq
Frontiers in Handwriting Recognition, 2002. Proceedings. Eighth International Workshop on, pp. 233--238

Machine learning in a multimedia document retrieval framework
Michael P. Perrone, Gregory F. Russell, Aiman Ziq
IBM Systems Journal 41(3), 494--503, IBM, 2002

Confidence modeling for verification post-processing for handwriting recognition
John F Pitrelli, Michael P Perrone
Frontiers in Handwriting Recognition, 2002. Proceedings. Eighth International Workshop on, pp. 30--35


2001

Adaptive N-best-list handwritten word recognition
Thomas Y Kwok, Michael P Perrone
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on, pp. 168--172


2000

Optimization of Training Texts for Writer-dependent Handwriting Recognition
JOHN F Pitrelli, JAYASHREE Subrahmonia, MICHAEL P Perrone, KRISHNA S Nathan
SERIES IN MACHINE PERCEPTION AND ARTIFICIAL INTELLIGENCE34, 29--38, World Scientific, 2000

Ink retrieval from handwritten documents
Thomas Kwok, Michael P Perrone, Gregory Russell
Intelligent Data Engineering and Automated Learning—IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents, pp. 461--466, Springer

K-means clustering for hidden Markov models
Michael P Perrone, Scott D Connell
Proceedings of the Seventh International Workshop on Frontiers in Handwriting Recognition, pp. 229--238, 2000


1998

Post-Hebbian learning rules
Shouval, Harel Z and Perrone, Michael P
The handbook of brain theory and neural networks, pp. 745--748, 1998

Coulomb potential learning
Perrone, Michael P and Cooper, Leon N
The handbook of brain theory and neural networks, pp. 272--275, 1998

Averaging/modular techniques for neural networks, The handbook of brain theory and neural networks
Perrone, Michael P
1998 - MIT Press, Cambridge, MA, MIT Press, Cambridge, MA

Averaging/modular techniques for neural networks
Perrone, Michael P
The handbook of brain theory and neural networks, pp. 126--128, 1998
Abstract


1996

Advances in Neural Information Processing Systems 8: Proceedings of the 1995 Conference
Touretzky, David S and Mozer, Michael C and Hasselmo, Michael E
1996 - books.google.com, Mit Press
Abstract

Writer dependent recognition of on-line unconstrained handwriting
Jayashree Subrahmonia, Krishna Nathan, Michael P Perrone
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on, pp. 3478--3481

Parameter tying in writer-dependent recognition of on-line handwriting
Krishna S Nathan, Jayashree Subrahmonia, Michael P Perrone
Pattern Recognition, 1996., Proceedings of the 13th International Conference on, pp. 28--32


1995

Averaging
Perrone, Michael P
Modular Techniques for Neural Networks" in (Arbib, 1995)

Learning from what's been learned: Supervised learning in multi-neural network systems
Perrone, Michael P and Cooper, Leon N
How We Learn; How We Remember: Toward An Understanding Of Brain And Neural Systems: Selected Papers of Leon N Cooper, pp. 359--362, World Scientific, 1995

Regression NSS: an alternative to cross validation
Michael P Perrone, Brian S Blais
Proceedings of the eighth annual conference on Computational learning theory, pp. 385--391, 1995

The Ni1000: High speed parallel VLSI for implementing multilayer Perceptrons
Michael P Perrone, Leon N Cooper
Advances in Neural Information Processing Systems, pp. 747--754, 1995

Dynamical analysis of neuromuscular transmission jitter
Gilchrist, James M and Perrone, Michael and Ross, John
Muscle & nerve 18(7), 685--692, Wiley Online Library, 1995
Abstract


1994

General averaging results for convex optimization
Perrone, Michael P
Proceedings of the 1993 Connectionist Models Summer School, pp. 364--371, 1994
Abstract

Putting it all together: Methods for combining neural networks
Perrone, Michael P
Advances in neural information processing systems, pp. 1188--1189, 1994
Abstract


1993

Improving regression estimation: Averaging methods for variance reduction with extensions to general convex measure optimization
Perrone, Michael Peter
Ph.D. Thesis, 1993
Abstract


1992

A soft-competitive splitting rule for adaptive tree-structured neural networks
Perrone, Michael P
Neural Networks, 1992. IJCNN., International Joint Conference on, pp. 689--693
Abstract

Unsupervised splitting rules for neural tree classifiers
Perrone, Michael P and Intrator, Nathan
Neural Networks, 1992. IJCNN., International Joint Conference on, pp. 820--825
Abstract

A novel recursive partitioning criterion
Perrone, Michael P
Technical Report, BROWN UNIV PROVIDENCE RI DEPT OF PHYSICS, 1992
Abstract

When networks disagree: Ensemble methods for hybrid neural networks
Perrone, Michael P and Cooper, Leon N
Technical Report, BROWN UNIV PROVIDENCE RI INST FOR BRAIN AND NEURAL SYSTEMS, 1992
Abstract


Year Unknown

A Computational Model of Catalyzed Carbon Sequestration
Harrell Sellers, Michael Perrone, Raymond Spiteri
cseg.ca, 0