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Michela Taufer
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Publications
- 2022
- [j37]Ariel Keller Rorabaugh, Silvina Caíno-Lores, Travis Johnston, Michela Taufer:
Building High-Throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine. IEEE Trans. Parallel Distributed Syst. 33(11): 2913-2926 (2022) - 2021
- [i9]Ariel Keller Rorabaugh, Silvina Caíno-Lores, Michael R. Wyatt II, Travis Johnston, Michela Taufer:
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search. CoRR abs/2101.04185 (2021) - 2019
- [j26]Robert Searles, Stephen Herbein, Travis Johnston, Michela Taufer, Sunita Chandrasekaran:
Creating a portable, high-level graph analytics paradigm for compute and data-intensive applications. Int. J. High Perform. Comput. Netw. 13(1): 105-118 (2019) - 2017
- [j22]Travis Johnston, Boyu Zhang, Adam Liwo, Silvia Crivelli, Michela Taufer:
In situ data analytics and indexing of protein trajectories. J. Comput. Chem. 38(16): 1419-1430 (2017) - 2016
- [c78]Michael R. Wyatt II, Travis Johnston, Mia Papas, Michela Taufer:
Development of a Scalable Method for Creating Food Groups Using the NHANES Dataset and MapReduce. BCB 2016: 118-127 - [c73]Travis Johnston, Connor Zanin, Michela Taufer:
HYPPO: A Hybrid, Piecewise Polynomial Modeling Technique for Non-Smooth Surfaces. SBAC-PAD 2016: 26-33 - 2015
- [c69]Dylan Chapp, Travis Johnston, Michela Taufer:
On the Need for Reproducible Numerical Accuracy through Intelligent Runtime Selection of Reduction Algorithms at the Extreme Scale. CLUSTER 2015: 166-175 - [c64]Travis Johnston, Mohammad Alsulmi, Pietro Cicotti, Michela Taufer:
Performance Tuning of MapReduce Jobs Using Surrogate-based Modeling. ICCS 2015: 49-59 - [i1]Travis Johnston, Boyu Zhang, Adam Liwo, Silvia Crivelli, Michela Taufer:
It-Situ Data Analysis of Protein Folding Trajectories. CoRR abs/1510.08789 (2015)
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