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2020 – today
- 2020
[j2]Nitin A. Gawande
, Jeff A. Daily, Charles Siegel, Nathan R. Tallent, Abhinav Vishnu:
Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. Future Gener. Comput. Syst. 108: 1162-1172 (2020)
2010 – 2019
- 2019
- [i12]Aaron Vose, Jacob Balma, Alex Heye, Alessandro Rigazzi, Charles Siegel, Diana Moise, Benjamin Robbins, Rangan Sukumar:
Recombination of Artificial Neural Networks. CoRR abs/1901.03900 (2019) - 2018
- [j1]Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy:
ColdRoute: effective routing of cold questions in stack exchange sites. Data Min. Knowl. Discov. 32(5): 1339-1367 (2018) - [c8]Anwesha Das, Frank Mueller, Charles Siegel, Abhinav Vishnu:
Desh: deep learning for system health prediction of lead times to failure in HPC. HPDC 2018: 40-51 - [c7]Israt Nisa, Charles Siegel, Aravind Sukumaran-Rajam, Abhinav Vishnu, P. Sadayappan:
Effective Machine Learning Based Format Selection and Performance Modeling for SpMV on GPUs. IPDPS Workshops 2018: 1056-1065 - [c6]Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas:
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction. KDD 2018: 302-310 - [c5]Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker:
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? WACV 2018: 1340-1349 - [i11]Jeff Daily, Abhinav Vishnu, Charles Siegel, Thomas Warfel, Vinay Amatya:
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent. CoRR abs/1803.05880 (2018) - [i10]Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy:
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites. CoRR abs/1807.00462 (2018) - [i9]Garrett B. Goh, Khushmeen Sakloth, Charles Siegel, Abhinav Vishnu, Jim Pfaendtner:
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction. CoRR abs/1808.04456 (2018) - 2017
- [c4]Javier Rubio-Herrero, Vikas Chandan, Charles Siegel, Abhinav Vishnu, Draguna L. Vrabie:
A Learning Framework for Control-Oriented Modeling of Buildings. ICMLA 2017: 473-478 - [c3]Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily:
What does fault tolerant deep learning need from MPI? EuroMPI/USA 2017: 13:1-13:11 - [c2]Nathan R. Tallent, Nitin A. Gawande, Charles Siegel, Abhinav Vishnu, Adolfy Hoisie:
Evaluating On-Node GPU Interconnects for Deep Learning Workloads. PMBS@SC 2017: 3-21 - [i8]Abhinav Vishnu, Joseph B. Manzano, Charles Siegel, Jeff Daily:
User-transparent Distributed TensorFlow. CoRR abs/1704.04560 (2017) - [i7]Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas, Nathan A. Baker:
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models. CoRR abs/1706.06689 (2017) - [i6]Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily:
What does fault tolerant Deep Learning need from MPI? CoRR abs/1709.03316 (2017) - [i5]Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker:
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? CoRR abs/1710.02238 (2017) - [i4]Garrett B. Goh, Nathan O. Hodas, Charles Siegel, Abhinav Vishnu:
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties. CoRR abs/1712.02034 (2017) - [i3]Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas:
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction. CoRR abs/1712.02734 (2017) - 2016
- [c1]Charles Siegel, Jeff Daily, Abhinav Vishnu:
Adaptive neuron apoptosis for accelerating deep learning on large scale systems. IEEE BigData 2016: 753-762 - [i2]Abhinav Vishnu, Charles Siegel, Jeffrey Daily:
Distributed TensorFlow with MPI. CoRR abs/1603.02339 (2016) - [i1]Charles Siegel, Jeff Daily, Abhinav Vishnu:
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems. CoRR abs/1610.00790 (2016)
Coauthor Index
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