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2020 – today
- 2022
[c27]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. IEEE Big Data 2022: 1556-1563- [c26]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: 244-258 - 2021
- [j21]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): 93-100 (2021) - [c25]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: 2928-2936 - [i15]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 abs/2103.00130 (2021) - [i14]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 abs/2105.12676 (2021) - [i13]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: 1642 (2021) - 2020
- [c24]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: 179-193 - [i12]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 abs/2010.08899 (2020) - [i11]Jie Amy Yang, Jianyu Huang, Jongsoo Park, Ping Tak Peter Tang, Andrew Tulloch:
Mixed-Precision Embedding Using a Cache. CoRR abs/2010.11305 (2020)
2010 – 2019
- 2019
- [c23]Greg Henry, Ping Tak Peter Tang, Alexander Heinecke:
Leveraging the bfloat16 Artificial Intelligence Datatype For Higher-Precision Computations. ARITH 2019: 69-76 - [c22]Tsung-Han Lin, Ping Tak Peter Tang:
Sparse Dictionary Learning by Dynamical Neural Networks. ICLR (Poster) 2019 - [i10]Greg Henry, Ping Tak Peter Tang, Alexander Heinecke:
Leveraging the bfloat16 Artificial Intelligence Datatype For Higher-Precision Computations. CoRR abs/1904.06376 (2019) - 2018
- [c21]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: 619-628 - [i9]Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal, Hao-Jun Michael Shi, Ping Tak Peter Tang:
A Progressive Batching L-BFGS Method for Machine Learning. CoRR abs/1802.05374 (2018) - [i8]Tsung-Han Lin, Ping Tak Peter Tang:
Dictionary Learning by Dynamical Neural Networks. CoRR abs/1805.08952 (2018) - 2017
- [c20]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 - [c19]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 - [i7]Sheng R. Li, Jongsoo Park, Ping Tak Peter Tang:
Enabling Sparse Winograd Convolution by Native Pruning. CoRR abs/1702.08597 (2017) - [i6]Ping Tak Peter Tang, Tsung-Han Lin, Mike Davies:
Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results. CoRR abs/1705.05475 (2017) - 2016
- [j20]James Kestyn, Eric Polizzi, Ping Tak Peter Tang:
Feast Eigensolver for Non-Hermitian Problems. SIAM J. Sci. Comput. 38(5) (2016) - [c18]Jean-Michel Muller, Valentina Popescu, Ping Tak Peter Tang:
A New Multiplication Algorithm for Extended Precision Using Floating-Point Expansions. ARITH 2016: 39-46 - [i5]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 abs/1609.04836 (2016) - 2015
- [j19]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) - [j18]Stef Graillat, Christoph Quirin Lauter, Ping Tak Peter Tang, Naoya Yamanaka, Shin'ichi Oishi:
Efficient Calculations of Faithfully Rounded l2-Norms of n-Vectors. ACM Trans. Math. Softw. 41(4): 24:1-24:20 (2015) - [i4]James Kestyn, Eric Polizzi, Ping Tak Peter Tang:
FEAST Eigensolver for non-Hermitian Problems. CoRR abs/1506.04463 (2015) - 2014
- [j17]Ping Tak Peter Tang, Eric Polizzi:
FEAST As A Subspace Iteration Eigensolver Accelerated By Approximate Spectral Projection. SIAM J. Matrix Anal. Appl. 35(2): 354-390 (2014) - [j16]Alberto Nannarelli, Peter-Michael Seidel, Ping Tak Peter Tang:
Guest Editors' Introduction: Special Section on Computer Arithmetic. IEEE Trans. Computers 63(8): 1852-1853 (2014) - [c17]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, C. Richard 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: 41-53 - [c16]Ping Tak Peter Tang, James Kestyn, Eric Polizzi:
A new highly parallel non-Hermitian eigensolver. SpringSim (HPS) 2014: 1 - [i3]Ping Tak Peter Tang, James Kestyn, Eric Polizzi:
A New Highly Parallel Non-Hermitian Eigensolver. CoRR abs/1404.2891 (2014) - [i2]Stefan Güttel, Eric Polizzi, Ping Tak Peter Tang, Gautier Viaud:
Zolotarev Quadrature Rules and Load Balancing for the FEAST Eigensolver. CoRR abs/1407.8078 (2014) - 2013
- [j15]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): 165-179 (2013) - [j14]Ping Tak Peter Tang, Jongsoo Park, Daehyun Kim, Vladimir Petrov:
A framework for low-communication 1-D FFT. Sci. Program. 21(3-4): 181-195 (2013) - [c15]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: 34:1-34:12 - [e2]Alberto Nannarelli, Peter-Michael Seidel, Ping Tak Peter Tang:
21st IEEE Symposium on Computer Arithmetic, ARITH 2013, Austin, TX, USA, April 7-10, 2013. IEEE Computer Society 2013, ISBN 978-1-4673-5644-2 [contents] - [i1]Ping Tak Peter Tang, Eric Polizzi:
Subspace Iteration with Approximate Spectral Projection. CoRR abs/1302.0432 (2013) - 2012
- [c14]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: 28 - [c13]Ping Tak Peter Tang, Jongsoo Park, Daehyun Kim, Vladimir Petrov:
A framework for low-communication 1-D FFT. SC 2012: 42 - 2011
- [c12]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: 149-158 - [c11]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: 159-168
2000 – 2009
- 2009
- [j13]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): 148-162 (2009) - 2007
- [c10]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: 29-37 - [c9]Ping Tak Peter Tang:
Modular Multiplication using Redundant Digit Division. IEEE Symposium on Computer Arithmetic 2007: 217-224 - 2005
- [j12]Ping Tak Peter Tang:
DFTI---a new interface for fast fourier transform libraries. ACM Trans. Math. Softw. 31(4): 475-507 (2005) - 2003
- [c8]Cristina Iordache, Ping Tak Peter Tang:
An Overview of Floating-Point Support and Math Library on the Intel XScaleTM Architecture. IEEE Symposium on Computer Arithmetic 2003: 122-128 - [c7]Marius Cornea, John Harrison, Ping Tak Peter Tang:
Intel® Itanium® floating-point architecture. WCAE 2003: 3 - 2002
- [j11]Bruce Greer, John Harrison, Greg Henry, Wei Wayne Li, Ping Tak Peter Tang:
Scientific computing on the Itanium® processor. Sci. Program. 10(4): 329-337 (2002) - 2001
- [c6]Bruce Greer, John Harrison, Greg Henry, Wei Wayne Li, Ping Tak Peter Tang:
Scientific computing on the Itanium processor. SC 2001: 41 - [e1]Ronald F. Boisvert, Ping Tak Peter Tang:
The Architecture of Scientific Software, IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software, October 2-4, 2000, Ottawa, Canada. IFIP Conference Proceedings 188, Kluwer 2001, ISBN 0-7923-7339-1 [contents] - 2000
- [c5]Ping Tak Peter Tang:
A Comprehensive DFT API for Scientific Computing. The Architecture of Scientific Software 2000: 235-256
1990 – 1999
- 1999
- [c4]Shane Story, Ping Tak Peter Tang:
New Algorithms for Improved Transcendental Functions on IA-64. IEEE Symposium on Computer Arithmetic 1999: 4-11 - [c3]Ping Tak Peter Tang:
A Proposal for a Comprehensive Package for Discrete Fourier Transform. PP 1999 - 1997
- [j10]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): 299-335 (1997) - 1995
- [c2]Tim Coe, Ping Tak Peter Tang:
It Takes Six Ones To Reach a Flaw. IEEE Symposium on Computer Arithmetic 1995: 140- - 1994
- [j9]Ping Tak Peter Tang:
Dynamic Condition Estimation and Rayleigh-Ritz Approximation. SIAM J. Matrix Anal. Appl. 15(1): 331-346 (1994) - [j8]Raymond H. Chan, Ping Tak Peter Tang:
Fast Band-Toeplitz Preconditioners for Hermitian Toeplitz Systems. SIAM J. Sci. Comput. 15(1): 164-171 (1994) - [j7]Thomas E. Hull, Thomas F. Fairgrieve, Ping Tak Peter Tang:
Implementing complex elementary functions using exception handling. ACM Trans. Math. Softw. 20(2): 215-244 (1994) - 1993
- [j6]Raymond H. Chan, Ping Tak Peter Tang:
Constrained minimax approximation and optimal preconditioned for Toeplitz matrices. Numer. Algorithms 5(7): 353-364 (1993) - [j5]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): 670-676 (1993) - 1992
- [j4]Ping Tak Peter Tang:
Table-driven implementation of the Expm1 function in IEEE floating-point arithmetic. ACM Trans. Math. Softw. 18(2): 211-222 (1992) - 1991
- [c1]Ping Tak Peter Tang:
Table-lookup algorithms for elementary functions and their error analysis. IEEE Symposium on Computer Arithmetic 1991: 232-236 - 1990
- [j3]Ping Tak Peter Tang:
Accurate and efficient testing of the exponential and logarithm functions. ACM Trans. Math. Softw. 16(3): 185-200 (1990) - [j2]Ping Tak Peter Tang:
Table-driven implementation of the logarithm function in IEEE floating-point arithmetic. ACM Trans. Math. Softw. 16(4): 378-400 (1990)
1980 – 1989
- 1989
- [j1]Ping Tak Peter Tang:
Table-driven implementation of the exponential function in IEEE floating-point arithmetic. ACM Trans. Math. Softw. 15(2): 144-157 (1989)
Coauthor Index
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