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Martin D. Schatz
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2020 – today
- 2024
- [j4]Upasana Sridhar, Nicholai Tukanov, Elliott Binder, Tze Meng Low, Scott McMillan, Martin D. Schatz:
SMaLL: Software for Rapidly Instantiating Machine Learning Libraries. ACM Trans. Embed. Comput. Syst. 23(3): 46:1-46:25 (2024) - 2023
- [i3]Upasana Sridhar, Nicholai Tukanov, Elliott Binder, Tze Meng Low, Scott McMillan, Martin D. Schatz:
SMaLL: A Software Framework for portable Machine Learning Libraries. CoRR abs/2303.04769 (2023) - 2021
- [c1]Upasana Sridhar, Tze Meng Low, Martin D. Schatz:
Fusing Non Element-wise Layers in DNNs. HPEC 2021: 1-2 - 2020
- [j3]Doru-Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low:
A Flexible Framework for Multidimensional DFTs. SIAM J. Sci. Comput. 42(5): C245-C264 (2020)
2010 – 2019
- 2019
- [i2]Doru-Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low:
A Flexible Framework for Parallel Multi-Dimensional DFTs. CoRR abs/1904.10119 (2019) - 2016
- [j2]Martin D. Schatz, Robert A. van de Geijn, Jack Poulson:
Parallel Matrix Multiplication: A Systematic Journey. SIAM J. Sci. Comput. 38(6) (2016) - 2014
- [j1]Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda:
Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors. SIAM J. Sci. Comput. 36(5) (2014) - 2013
- [i1]Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda:
Exploiting Symmetry in Tensors for High Performance. CoRR abs/1301.7744 (2013)
Coauthor Index
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