Ping Tak Peter Tang

Publication Activity (10 Years)

Years Active: 1989-2022
Publications (10 Years): 23

Top Topics

Highly Parallel

Avoid Overfitting

Top Venues

Publications

Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. Big Data (2022)
Wenjie Xiong, Liu Ke, Dimitrije Jankov, Michael Kounavis, Xiaochen Wang, Eric Northup, Jie Amy Yang, Bilge Acun, Carole-Jean Wu, Ping Tak Peter Tang, G. Edward Suh, Xuan Zhang, Hsien-Hsin S. Lee
SecNDP: Secure Near-Data Processing with Untrusted Memory. HPCA (2022)
Wenjie Xiong, Liu Ke, Dimitrije Jankov, Michael Kounavis, Xiaochen Wang, Eric Northup, Jie Amy Yang, Bilge Acun, Carole-Jean Wu, Ping Tak Peter Tang, G. Edward Suh, Xuan Zhang, Hsien-Hsin S. Lee
SecNDP: Secure Near-Data Processing with Untrusted Memory. IACR Cryptol. ePrint Arch. 2021 (2021)
Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. IEEE Micro 41 (5) (2021)
Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. CoRR (2021)
Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney
Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism. KDD (2021)
Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. CoRR (2021)
Young Joon Kwon, Danielle Toussie, Lea Azour, Jose Concepcion, Corey Eber, G. Anthony Reina, Ping Tak Peter Tang, Amish H. Doshi, Eric K. Oermann, Anthony B. Costa
Appropriate Evaluation of Diagnostic Utility of Machine Learning Algorithm Generated Images. ML4H@NeurIPS (2020)
Jie Amy Yang, Jianyu Huang, Jongsoo Park, Ping Tak Peter Tang, Andrew Tulloch
Mixed-Precision Embedding Using a Cache. CoRR (2020)
Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney
Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism. CoRR (2020)
Greg Henry, Ping Tak Peter Tang, Alexander Heinecke
Leveraging the bfloat16 Artificial Intelligence Datatype For Higher-Precision Computations. ARITH (2019)
Tsung-Han Lin, Ping Tak Peter Tang
Sparse Dictionary Learning by Dynamical Neural Networks. ICLR (Poster) (2019)
Greg Henry, Ping Tak Peter Tang, Alexander Heinecke
Leveraging the bfloat16 Artificial Intelligence Datatype For Higher-Precision Computations. CoRR (2019)
Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal, Hao-Jun Michael Shi, Ping Tak Peter Tang
A Progressive Batching L-BFGS Method for Machine Learning. CoRR (2018)
Tsung-Han Lin, Ping Tak Peter Tang
Dictionary Learning by Dynamical Neural Networks. CoRR (2018)
Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal, Hao-Jun Michael Shi, Ping Tak Peter Tang
A Progressive Batching L-BFGS Method for Machine Learning. ICML (2018)
Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima. ICLR (2017)
Ping Tak Peter Tang, Tsung-Han Lin, Mike Davies
Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results. CoRR (2017)
Jongsoo Park, Sheng R. Li, Wei Wen, Ping Tak Peter Tang, Hai Li, Yiran Chen, Pradeep Dubey
Faster CNNs with Direct Sparse Convolutions and Guided Pruning. ICLR (Poster) (2017)
Sheng R. Li, Jongsoo Park, Ping Tak Peter Tang
Enabling Sparse Winograd Convolution by Native Pruning. CoRR (2017)
James Kestyn, Eric Polizzi, Ping Tak Peter Tang
Feast Eigensolver for Non-Hermitian Problems. SIAM J. Sci. Comput. 38 (5) (2016)
Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima. CoRR (2016)
Jean-Michel Muller, Valentina Popescu, Ping Tak Peter Tang
A New Multiplication Algorithm for Extended Precision Using Floating-Point Expansions. ARITH (2016)
James Kestyn, Eric Polizzi, Ping Tak Peter Tang
FEAST Eigensolver for non-Hermitian Problems. CoRR (2015)
Stefan Güttel, Eric Polizzi, Ping Tak Peter Tang, Gautier Viaud
Zolotarev Quadrature Rules and Load Balancing for the FEAST Eigensolver. SIAM J. Sci. Comput. 37 (4) (2015)
Stef Graillat, Christoph Quirin Lauter, Ping Tak Peter Tang, Naoya Yamanaka, Shin'ichi Oishi
-Vectors. ACM Trans. Math. Softw. 41 (4) (2015)
David E. Shaw, J. P. Grossman, Joseph A. Bank, Brannon Batson, J. Adam Butts, Jack C. Chao, Martin M. Deneroff, Ron O. Dror, Amos Even, Christopher H. Fenton, Anthony Forte, Joseph Gagliardo, Gennette Gill, Brian Greskamp, Richard C. Ho, Douglas J. Ierardi, Lev Iserovich, Jeffrey Kuskin, Richard H. Larson, Timothy Layman, Li-Siang Lee, Adam K. Lerer, Chester Li, Daniel Killebrew, Kenneth M. Mackenzie, Shark Yeuk-Hai Mok, Mark A. Moraes, Rolf Mueller, Lawrence J. Nociolo, Jon L. Peticolas, Terry Quan, Daniel Ramot, John K. Salmon, Daniele Paolo Scarpazza, U. Ben Schafer, Naseer Siddique, Christopher W. Snyder, Jochen Spengler, Ping Tak Peter Tang, Michael Theobald, Horia Toma, Brian Towles, Benjamin Vitale, Stanley C. Wang, Cliff Young
Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer. SC (2014)
Stefan Güttel, Eric Polizzi, Ping Tak Peter Tang, Gautier Viaud
Zolotarev Quadrature Rules and Load Balancing for the FEAST Eigensolver. CoRR (2014)
Ping Tak Peter Tang, James Kestyn, Eric Polizzi
A new highly parallel non-Hermitian eigensolver. SpringSim (HPS) (2014)
Ping Tak Peter Tang, James Kestyn, Eric Polizzi
A New Highly Parallel Non-Hermitian Eigensolver. CoRR (2014)
Alberto Nannarelli, Peter-Michael Seidel, Ping Tak Peter Tang
Guest Editors' Introduction: Special Section on Computer Arithmetic. IEEE Trans. Computers 63 (8) (2014)
Ping Tak Peter Tang, Eric Polizzi
FEAST As A Subspace Iteration Eigensolver Accelerated By Approximate Spectral Projection. SIAM J. Matrix Anal. Appl. 35 (2) (2014)
Jongsoo Park, Ganesh Bikshandi, Karthikeyan Vaidyanathan, Ping Tak Peter Tang, Pradeep Dubey, Daehyun Kim
Tera-scale 1D FFT with low-communication algorithm and Intel® Xeon Phi™ coprocessors. SC (2013)
Ping Tak Peter Tang, Jongsoo Park, Daehyun Kim, Vladimir Petrov
A framework for low-communication 1-D FFT. Sci. Program. 21 (3-4) (2013)
Ping Tak Peter Tang, Eric Polizzi
Subspace Iteration with Approximate Spectral Projection CoRR (2013)
Jongsoo Park, Ping Tak Peter Tang, Mikhail Smelyanskiy, Daehyun Kim, Thomas Benson
Efficient backprojection-based synthetic aperture radar computation with many-core processors. Sci. Program. 21 (3-4) (2013)
Jongsoo Park, Ping Tak Peter Tang, Mikhail Smelyanskiy, Daehyun Kim, Thomas Benson
Efficient backprojection-based synthetic aperture radar computation with many-core processors. SC (2012)
Ping Tak Peter Tang, Jongsoo Park, Daehyun Kim, Vladimir Petrov
A framework for low-communication 1-D FFT. SC (2012)
J. Adam Butts, Ping Tak Peter Tang, Ron O. Dror, David E. Shaw
Radix-8 Digit-by-Rounding: Achieving High-Performance Reciprocals, Square Roots, and Reciprocal Square Roots. IEEE Symposium on Computer Arithmetic (2011)
Ping Tak Peter Tang, J. Adam Butts, Ron O. Dror, David E. Shaw
Tight Certification Techniques for Digit-by-Rounding Algorithms with Application to a New 1/sqrt(x) Design. IEEE Symposium on Computer Arithmetic (2011)
Marius Cornea, John Harrison, Cristina Anderson, Ping Tak Peter Tang, Eric Schneider, Evgeny Gvozdev
A Software Implementation of the IEEE 754R Decimal Floating-Point Arithmetic Using the Binary Encoding Format. IEEE Trans. Computers 58 (2) (2009)
Ping Tak Peter Tang
Modular Multiplication using Redundant Digit Division. IEEE Symposium on Computer Arithmetic (2007)
Marius Cornea, Cristina Anderson, John Harrison, Ping Tak Peter Tang, Eric Schneider, Charles Tsen
A Software Implementation of the IEEE 754R Decimal Floating-Point Arithmetic Using the Binary Encoding Format. IEEE Symposium on Computer Arithmetic (2007)
Ping Tak Peter Tang
DFTI---a new interface for fast fourier transform libraries. ACM Trans. Math. Softw. 31 (4) (2005)
Marius Cornea, John Harrison, Ping Tak Peter Tang
Intel® Itanium® floating-point architecture. WCAE (2003)
Cristina Iordache, Ping Tak Peter Tang
Architecture. IEEE Symposium on Computer Arithmetic (2003)
Bruce Greer, John Harrison, Greg Henry, Wei Wayne Li, Ping Tak Peter Tang
Scientific computing on the Itanium® processor. Sci. Program. 10 (4) (2002)
Bruce Greer, John Harrison, Greg Henry, Wei Wayne Li, Ping Tak Peter Tang
Scientific computing on the Itanium processor. SC (2001)
Ping Tak Peter Tang
A Comprehensive DFT API for Scientific Computing. The Architecture of Scientific Software (2000)
Shane Story, Ping Tak Peter Tang
New Algorithms for Improved Transcendental Functions on IA-64. IEEE Symposium on Computer Arithmetic (1999)
Ping Tak Peter Tang
A Proposal for a Comprehensive Package for Discrete Fourier Transform. PPSC (1999)
Thomas E. Hull, Thomas F. Fairgrieve, Ping Tak Peter Tang
Implementing the Complex Arcsine and Arccosine Functions Using Exception Handling. ACM Trans. Math. Softw. 23 (3) (1997)
Tim Coe, Ping Tak Peter Tang
It Takes Six Ones To Reach a Flaw. IEEE Symposium on Computer Arithmetic (1995)
Thomas E. Hull, Thomas F. Fairgrieve, Ping Tak Peter Tang
Implementing complex elementary functions using exception handling. ACM Trans. Math. Softw. 20 (2) (1994)
Ping Tak Peter Tang
Dynamic Condition Estimation and Rayleigh-Ritz Approximation. SIAM J. Matrix Anal. Appl. 15 (1) (1994)
Raymond H. Chan, Ping Tak Peter Tang
Fast Band-Toeplitz Preconditioners for Hermitian Toeplitz Systems. SIAM J. Sci. Comput. 15 (1) (1994)
Christian H. Bischof, C. T. Pan, Ping Tak Peter Tang
A Cholesky Up- and Downdating Algorithm for Systolic and SIMD Architectures. SIAM J. Sci. Comput. 14 (3) (1993)
Raymond H. Chan, Ping Tak Peter Tang
Constrained minimax approximation and optimal preconditioned for Toeplitz matrices. Numer. Algorithms 5 (7) (1993)
Ping Tak Peter Tang
Table-driven implementation of the Expm1 function in IEEE floating-point arithmetic. ACM Trans. Math. Softw. 18 (2) (1992)
Ping Tak Peter Tang
Table-lookup algorithms for elementary functions and their error analysis. IEEE Symposium on Computer Arithmetic (1991)
Ping Tak Peter Tang
Accurate and efficient testing of the exponential and logarithm functions. ACM Trans. Math. Softw. 16 (3) (1990)
Ping Tak Peter Tang
Table-driven implementation of the logarithm function in IEEE floating-point arithmetic. ACM Trans. Math. Softw. 16 (4) (1990)
Ping Tak Peter Tang
Table-driven implementation of the exponential function in IEEE floating-point arithmetic. ACM Trans. Math. Softw. 15 (2) (1989)