Table-driven implementation of the exponential function in IEEE floating-point arithmetic. - Ping Tak Peter Tang (ACM Trans. Math. Softw., 1989)

Accurate and efficient testing of the exponential and logarithm functions. - Ping Tak Peter Tang (ACM Trans. Math. Softw., 1990)

Table-driven implementation of the logarithm function in IEEE floating-point arithmetic. - Ping Tak Peter Tang (ACM Trans. Math. Softw., 1990)

Table-lookup algorithms for elementary functions and their error analysis. - Ping Tak Peter Tang (IEEE Symposium on Computer Arithmetic, 1991)

Table-driven implementation of the Expm1 function in IEEE floating-point arithmetic. - Ping Tak Peter Tang (ACM Trans. Math. Softw., 1992)

Constrained minimax approximation and optimal preconditioned for Toeplitz matrices. - Raymond H. Chan; Ping Tak Peter Tang (Numer. Algorithms, 1993)

A Cholesky Up- and Downdating Algorithm for Systolic and SIMD Architectures. - Christian H. Bischof; C. T. Pan; Ping Tak Peter Tang (SIAM J. Sci. Comput., 1993)

Fast Band-Toeplitz Preconditioners for Hermitian Toeplitz Systems. - Raymond H. Chan; Ping Tak Peter Tang (SIAM J. Sci. Comput., 1994)

Implementing complex elementary functions using exception handling. - Thomas E. Hull; Thomas F. Fairgrieve; Ping Tak Peter Tang (ACM Trans. Math. Softw., 1994)

Dynamic Condition Estimation and Rayleigh-Ritz Approximation. - Ping Tak Peter Tang (SIAM J. Matrix Anal. Appl., 1994)

It Takes Six Ones To Reach a Flaw. - Tim Coe; Ping Tak Peter Tang (IEEE Symposium on Computer Arithmetic, 1995)

Implementing the Complex Arcsine and Arccosine Functions Using Exception Handling. - Thomas E. Hull; Thomas F. Fairgrieve; Ping Tak Peter Tang (ACM Trans. Math. Softw., 1997)

New Algorithms for Improved Transcendental Functions on IA-64. - Shane Story; Ping Tak Peter Tang (IEEE Symposium on Computer Arithmetic, 1999)

A Proposal for a Comprehensive Package for Discrete Fourier Transform. - Ping Tak Peter Tang (PP, 1999)

A Comprehensive DFT API for Scientific Computing. - Ping Tak Peter Tang (The Architecture of Scientific Software, 2000)

Scientific computing on the Itanium processor. - Bruce Greer; John Harrison 001; Greg Henry; Wei Wayne Li; Ping Tak Peter Tang (SC, 2001)

Scientific computing on the Itanium® processor. - Bruce Greer; John Harrison 001; Greg Henry; Wei Wayne Li; Ping Tak Peter Tang (Sci. Program., 2002)

An Overview of Floating-Point Support and Math Library on the Intel XScaleTM Architecture. - Cristina Iordache; Ping Tak Peter Tang (IEEE Symposium on Computer Arithmetic, 2003)

Intel® Itanium® floating-point architecture. - Marius Cornea; John Harrison 001; Ping Tak Peter Tang (WCAE, 2003)

DFTI—a new interface for fast fourier transform libraries. - Ping Tak Peter Tang (ACM Trans. Math. Softw., 2005)

A Software Implementation of the IEEE 754R Decimal Floating-Point Arithmetic Using the Binary Encoding Format. - Marius Cornea; Cristina Anderson; John Harrison 001; Ping Tak Peter Tang; Eric Schneider; Charles Tsen (IEEE Symposium on Computer Arithmetic, 2007)

Modular Multiplication using Redundant Digit Division. - Ping Tak Peter Tang (IEEE Symposium on Computer Arithmetic, 2007)

A Software Implementation of the IEEE 754R Decimal Floating-Point Arithmetic Using the Binary Encoding Format. - Marius Cornea; John Harrison 001; Cristina Anderson; Ping Tak Peter Tang; Eric Schneider; Evgeny Gvozdev (IEEE Trans. Computers, 2009)

Radix-8 Digit-by-Rounding: Achieving High-Performance Reciprocals, Square Roots, and Reciprocal Square Roots. - J. Adam Butts; Ping Tak Peter Tang; Ron O. Dror; David E. Shaw (IEEE Symposium on Computer Arithmetic, 2011)

Tight Certification Techniques for Digit-by-Rounding Algorithms with Application to a New 1/sqrt(x) Design. - Ping Tak Peter Tang; J. Adam Butts; Ron O. Dror; David E. Shaw (IEEE Symposium on Computer Arithmetic, 2011)

Tera-scale 1D FFT with low-communication algorithm and Intel® Xeon Phi™ coprocessors. - Jongsoo Park; Ganesh Bikshandi; Karthikeyan Vaidyanathan; Ping Tak Peter Tang; Pradeep Dubey; Daehyun Kim 001 (SC, 2013)

Subspace Iteration with Approximate Spectral Projection - Ping Tak Peter Tang; Eric Polizzi (CoRR, 2013)

Efficient backprojection-based synthetic aperture radar computation with many-core processors. - Jongsoo Park; Ping Tak Peter Tang; Mikhail Smelyanskiy; Daehyun Kim 001; Thomas Benson (Sci. Program., 2013)

A framework for low-communication 1-D FFT. - Ping Tak Peter Tang; Jongsoo Park; Daehyun Kim 001; Vladimir Petrov (Sci. Program., 2013)

Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer. - 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; et al. (SC, 2014)

A new highly parallel non-Hermitian eigensolver. - Ping Tak Peter Tang; James Kestyn; Eric Polizzi (SpringSim (HPS), 2014)

FEAST As A Subspace Iteration Eigensolver Accelerated By Approximate Spectral Projection. - Ping Tak Peter Tang; Eric Polizzi (SIAM J. Matrix Anal. Appl., 2014)

Guest Editors' Introduction: Special Section on Computer Arithmetic. - Alberto Nannarelli; Peter-Michael Seidel; Ping Tak Peter Tang (IEEE Trans. Computers, 2014)

Zolotarev Quadrature Rules and Load Balancing for the FEAST Eigensolver. - Stefan Güttel; Eric Polizzi; Ping Tak Peter Tang; Gautier Viaud (SIAM J. Sci. Comput., 2015)

Efficient Calculations of Faithfully Rounded l2-Norms of n-Vectors. - Stef Graillat; Christoph Quirin Lauter; Ping Tak Peter Tang; Naoya Yamanaka; Shin'ichi Oishi (ACM Trans. Math. Softw., 2015)

A New Multiplication Algorithm for Extended Precision Using Floating-Point Expansions. - Jean-Michel Muller; Valentina Popescu; Ping Tak Peter Tang (ARITH, 2016)

Feast Eigensolver for Non-Hermitian Problems. - James Kestyn; Eric Polizzi; Ping Tak Peter Tang (SIAM J. Sci. Comput., 2016)

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima. - Nitish Shirish Keskar; Dheevatsa Mudigere; Jorge Nocedal; Mikhail Smelyanskiy; Ping Tak Peter Tang (ICLR, 2017)

Faster CNNs with Direct Sparse Convolutions and Guided Pruning. - Jongsoo Park; Sheng R. Li; Wei Wen; Ping Tak Peter Tang; Hai Li 001; Yiran Chen 001; Pradeep Dubey (ICLR (Poster), 2017)

Enabling Sparse Winograd Convolution by Native Pruning. - Sheng R. Li; Jongsoo Park; Ping Tak Peter Tang (CoRR, 2017)

Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results. - Ping Tak Peter Tang; Tsung-Han Lin; Mike Davies 002 (CoRR, 2017)

A Progressive Batching L-BFGS Method for Machine Learning. - Raghu Bollapragada; Dheevatsa Mudigere; Jorge Nocedal; Hao-Jun Michael Shi; Ping Tak Peter Tang (ICML, 2018)

Dictionary Learning by Dynamical Neural Networks. - Tsung-Han Lin; Ping Tak Peter Tang (CoRR, 2018)

Leveraging the bfloat16 Artificial Intelligence Datatype For Higher-Precision Computations. - Greg Henry; Ping Tak Peter Tang; Alexander Heinecke (ARITH, 2019)

Sparse Dictionary Learning by Dynamical Neural Networks. - Tsung-Han Lin; Ping Tak Peter Tang (ICLR (Poster), 2019)

Appropriate Evaluation of Diagnostic Utility of Machine Learning Algorithm Generated Images. - 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 (ML4H@NeurIPS, 2020)

Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism. - Vipul Gupta; Dhruv Choudhary; Ping Tak Peter Tang; Xiaohan Wei; Xing Wang; Yuzhen Huang; Arun Kejariwal; Kannan Ramchandran; Michael W. Mahoney (CoRR, 2020)

Mixed-Precision Embedding Using a Cache. - Jie Amy Yang; Jianyu Huang; Jongsoo Park; Ping Tak Peter Tang; Andrew Tulloch (CoRR, 2020)

Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism. - Vipul Gupta; Dhruv Choudhary; Ping Tak Peter Tang; Xiaohan Wei; Xing Wang; Yuzhen Huang; Arun Kejariwal; Kannan Ramchandran; Michael W. Mahoney (KDD, 2021)

SecNDP: Secure Near-Data Processing with Untrusted Memory. - Wenjie Xiong 001; Liu Ke 001; 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 001; et al. (IACR Cryptol. ePrint Arch., 2021)

Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. - 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; et al. (IEEE Micro, 2021)

Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. - Sihuan Li; Jianyu Huang; Ping Tak Peter Tang; Daya Shanker Khudia; Jongsoo Park; Harish Dattatraya Dixit; Zizhong Chen (IEEE Big Data, 2022)

Rounding Error Statistics as Numerics Signature. - Ping Tak Peter Tang (ARITH, 2025)