Panruo Wu
Title
Cited by
Cited by
Year
Fast discrete distribution clustering using Wasserstein barycenter with sparse support
J Ye, P Wu, JZ Wang, J Li
IEEE Transactions on Signal Processing 65 (9), 2317-2332, 2017
722017
Rethinking algorithm-based fault tolerance with a cooperative software-hardware approach
D Li, Z Chen, P Wu, JS Vetter
SC'13: Proceedings of the International Conference on High Performance …, 2013
452013
FT-ScaLAPACK: Correcting soft errors on-line for ScaLAPACK Cholesky, QR, and LU factorization routines
P Wu, Z Chen
Proceedings of the 23rd international symposium on High-performance parallel …, 2014
432014
Investigating the interplay between energy efficiency and resilience in high performance computing
L Tan, SL Song, P Wu, Z Chen, R Ge, DJ Kerbyson
2015 IEEE International Parallel and Distributed Processing Symposium, 786-796, 2015
332015
New-sum: A novel online abft scheme for general iterative methods
D Tao, SL Song, S Krishnamoorthy, P Wu, X Liang, EZ Zhang, ...
Proceedings of the 25th ACM International Symposium on High-Performance …, 2016
322016
Fail-stop failure algorithm-based fault tolerance for cholesky decomposition
D Hakkarinen, P Wu, Z Chen
IEEE Transactions on Parallel and Distributed Systems 26 (5), 1323-1335, 2014
312014
Fault tolerant matrix-matrix multiplication: correcting soft errors on-line
P Wu, C Ding, L Chen, F Gao, T Davies, C Karlsson, Z Chen
Proceedings of the second workshop on Scalable algorithms for large-scale …, 2011
312011
Investigating half precision arithmetic to accelerate dense linear system solvers
A Haidar, P Wu, S Tomov, J Dongarra
Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms …, 2017
302017
Algorithm-directed data placement in explicitly managed non-volatile memory
P Wu, D Li, Z Chen, JS Vetter, S Mittal
Proceedings of the 25th ACM International Symposium on High-Performance …, 2016
262016
Towards practical algorithm based fault tolerance in dense linear algebra
P Wu, Q Guan, N DeBardeleben, S Blanchard, D Tao, X Liang, J Chen, ...
Proceedings of the 25th ACM International Symposium on High-Performance …, 2016
252016
The design of fast and energy-efficient linear solvers: On the potential of half-precision arithmetic and iterative refinement techniques
A Haidar, A Abdelfattah, M Zounon, P Wu, S Pranesh, S Tomov, ...
International Conference on Computational Science, 586-600, 2018
242018
Silent data corruption resilient two-sided matrix factorizations
P Wu, N DeBardeleben, Q Guan, S Blanchard, J Chen, D Tao, X Liang, ...
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of …, 2017
182017
On-line soft error correction in matrix–matrix multiplication
P Wu, C Ding, L Chen, T Davies, C Karlsson, Z Chen
Journal of Computational Science 4 (6), 465-472, 2013
172013
Correcting soft errors online in fast fourier transform
X Liang, J Chen, D Tao, S Li, P Wu, H Li, K Ouyang, Y Liu, F Song, ...
Proceedings of the International Conference for High Performance Computing …, 2017
162017
Design, use and evaluation of p-fsefi: A parallel soft error fault injection framework for emulating soft errors in parallel applications
Q Guan, N BeBardeleben, P Wu, S Eidenbenz, S Blanchard, L Monroe, ...
Proceedings of the 9th EAI International Conference on Simulation Tools and …, 2016
162016
Sdc is in the eye of the beholder: A survey and preliminary study
B Fang, P Wu, Q Guan, N DeBardeleben, L Monroe, S Blanchard, Z Chen, ...
2016 46th Annual IEEE/IFIP International Conference on Dependable Systems …, 2016
112016
Energy efficient parallel matrix-matrix multiplication for DVFS-enabled clusters
L Chen, P Wu, Z Chen, R Ge, Z Zong
2012 41st International Conference on Parallel Processing Workshops, 239-245, 2012
102012
Roadmap for the development of a linear algebra library for exascale computing: SLATE: Software for linear algebra targeting exascale
A Abdelfattah, H Anzt, A Bouteiller, A Danalis, J Dongarra, M Gates, ...
SLATE Working Note 1, Innovative Computing Laboratory, University of Tennessee, 2017
92017
Designing SLATE: Software for linear algebra targeting exascale
J Kurzak, P Wu, M Gates, I Yamazaki
82017
GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing
J Chen, L Tan, P Wu, D Tao, H Li, X Liang, S Li, R Ge, L Bhuyan, Z Chen
SC'16: Proceedings of the International Conference for High Performance …, 2016
82016
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