Tze Meng Low
Citata da
Citata da
Analytical modeling is enough for high-performance BLIS
TM Low, FD Igual, TM Smith, ES Quintana-Orti
ACM Transactions on Mathematical Software (TOMS) 43 (2), 1-18, 2016
The BLIS framework: Experiments in portability
FGV Zee, TM Smith, B Marker, TM Low, RAVD Geijn, FD Igual, ...
ACM Transactions on Mathematical Software (TOMS) 42 (2), 1-19, 2016
3D-stacked memory-side acceleration: Accelerator and system design
Q Guo, N Alachiotis, B Akin, F Sadi, G Xu, TM Low, L Pileggi, JC Hoe, ...
Workshop on Near-Data Processing (WoNDP)(Held in conjunction with MICRO-47), 2014
An API for manipulating matrices stored by blocks
TM Low, RA Van de Geijn, FW Note
Computer Science Department, University of Texas at Austin, 2004
A unified coded deep neural network training strategy based on generalized polydot codes
S Dutta, Z Bai, H Jeong, TM Low, P Grover
2018 IEEE International Symposium on Information Theory (ISIT), 1585-1589, 2018
Accumulating Householder transformations, revisited
T Joffrain, TM Low, ES Quintana-Ortí, R Geijn, FGV Zee
ACM Transactions on Mathematical Software (TOMS) 32 (2), 169-179, 2006
SPIRAL: Extreme performance portability
F Franchetti, TM Low, DT Popovici, RM Veras, DG Spampinato, ...
Proceedings of the IEEE 106 (11), 1935-1968, 2018
Exploiting symmetry in tensors for high performance: Multiplication with symmetric tensors
MD Schatz, TM Low, RA van de Geijn, TG Kolda
SIAM Journal on Scientific Computing 36 (5), C453-C479, 2014
Scalable parallelization of FLAME code via the workqueuing model
FG Van Zee, P Bientinesi, TM Low, RA Van De Geijn
ACM Transactions on Mathematical Software (TOMS) 34 (2), 2008
Efficient spmv operation for large and highly sparse matrices using scalable multi-way merge parallelization
F Sadi, J Sweeney, TM Low, JC Hoe, L Pileggi, F Franchetti
Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019
High performance zero-memory overhead direct convolutions
J Zhang, F Franchetti, TM Low
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
High-assurance SPIRAL: End-to-end guarantees for robot and car control
F Franchetti, TM Low, S Mitsch, JP Mendoza, L Gui, A Phaosawasdi, ...
IEEE Control Systems Magazine 37 (2), 82-103, 2017
CodeNet: Training large scale neural networks in presence of soft-errors
S Dutta, Z Bai, TM Low, P Grover
arXiv preprint arXiv:1903.01042, 2019
First look: Linear algebra-based triangle counting without matrix multiplication
TM Low, VN Rao, M Lee, D Popovici, F Franchetti, S McMillan
2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2017
Masterless coded computing: A fully-distributed coded FFT algorithm
H Jeong, TM Low, P Grover
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
Coded fft and its communication overhead
H Jeong, TM Low, P Grover
arXiv preprint arXiv:1805.09891, 2018
Large bandwidth-efficient FFTs on multicore and multi-socket systems
DT Popovici, TM Low, F Franchetti
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018
High assurance code generation for cyber-physical systems
TM Low, F Franchetti
2017 IEEE 18th International Symposium on High Assurance Systems Engineering …, 2017
Extracting SMP parallelism for dense linear algebra algorithms from high-level specifications
TM Low, RA van de Geijn, FG Van Zee
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of …, 2005
FFTX and SpectralPack: A first look
F Franchetti, DG Spampinato, A Kulkarni, DT Popovici, TM Low, ...
2018 IEEE 25th International Conference on High Performance Computing …, 2018
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