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Results
Found 44 publication records. Showing 44 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Wesley Brewer, Daniel Martínez, Mathew Boyer, Dylan Jude, Andy Wissink, Ben Parsons, Junqi Yin, Valentine Anantharaj |
Production Deployment of Machine-Learned Rotorcraft Surrogate Models on HPC.  |
MLHPC@SC  |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Michael R. Wyatt II, Valen Yamamoto, Zoë Tosi, Ian Karlin, Brian Van Essen |
Is Disaggregation possible for HPC Cognitive Simulation? |
MLHPC@SC |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller 0002, Talita Perciano, Mariam Kiran, Marc Day |
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization. |
MLHPC@SC |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Gaurav Verma, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Barbara M. Chapman |
HPCFAIR: Enabling FAIR AI for HPC Applications. |
MLHPC@SC |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Chunhua Liao, Pei-Hung Lin, Gaurav Verma, Tristan Vanderbruggen, Murali Emani, Zifan Nan, Xipeng Shen |
HPC Ontology: Towards a Unified Ontology for Managing Training Datasets and AI Models for High-Performance Computing. |
MLHPC@SC |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Logan T. Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian T. Foster |
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. |
MLHPC@SC |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | |
IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, MLHPC@SC 2021, St. Louis, MO, USA, November 15, 2021 |
MLHPC@SC |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Mu Gao, Peik Lund-Andersen, Alex Morehead, Sajid Mahmud, Chen Chen, Xiao Chen, Nabin Giri, Raj S. Roy, Farhan Quadir, T. Chad Effler, Ryan Prout, Subil Abraham, Wael R. Elwasif, Nicholas Quentin Haas, Jeffrey Skolnick, Jianlin Cheng, Ada Sedova |
High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function. |
MLHPC@SC |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Sarunya Pumma, Abhinav Vishnu |
Semantic-Aware Lossless Data Compression for Deep Learning Recommendation Model (DLRM). |
MLHPC@SC |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin |
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. |
MLHPC@SC |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine |
Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning. |
MLHPC@SC |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Gordon Euhyun Moon, Denis Newman-Griffis, Jinsung Kim, Aravind Sukumaran-Rajam, Eric Fosler-Lussier, P. Sadayappan |
Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings. |
MLHPC@SC |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Greg Heinrich, Iuri Frosio |
Metaoptimization on a Distributed System for Deep Reinforcement Learning. |
MLHPC@SC |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Avraam Chatzimichailidis, Janis Keuper, Franz-Josef Pfreundt, Nicolas R. Gauger |
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. |
MLHPC@SC |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | |
2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, MLHPC@SC, Denver, CO, USA, November 18, 2019 |
MLHPC@SC |
2019 |
DBLP BibTeX RDF |
|
| 1 | Jiali Li, Bogdan Nicolae, Justin M. Wozniak, George Bosilca |
Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training. |
MLHPC@SC |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Raju Ram, Sabine Müller 0001, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper |
Scalable Hyperparameter Optimization with Lazy Gaussian Processes. |
MLHPC@SC |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Rupe, Prabhat, James P. Crutchfield, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor W. Lee |
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems. |
MLHPC@SC |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Jeremy T. Johnston, Steven R. Young, Catherine D. Schuman, Junghoon Chae, Don D. March, Robert M. Patton, Thomas E. Potok |
Fine-Grained Exploitation of Mixed Precision for Faster CNN Training. |
MLHPC@SC |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Sam Ade Jacobs, Nikoli Dryden, Roger A. Pearce, Brian Van Essen |
Towards Scalable Parallel Training of Deep Neural Networks. |
MLHPC@SC |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper |
TensorQuant: A Simulation Toolbox for Deep Neural Network Quantization. |
MLHPC@SC |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Alexey Svyatkovskiy, Julian Kates-Harbeck, William Tang 0002 |
Training distributed deep recurrent neural networks with mixed precision on GPU clusters. |
MLHPC@SC |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Guojing Cong, Brian Kingsbury, Soumyadip Gosh, George Saon, Fan Zhou 0010 |
Accelerating deep neural network learning for speech recognition on a cluster of GPUs. |
MLHPC@SC |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Weijian Zheng, Fengguang Song, Lan Lin |
Designing a Synchronization-reducing Clustering Method on Manycores: Some Issues and Improvements. |
MLHPC@SC |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Saurabh Gupta, Vineet Khare |
BlazingText: Scaling and Accelerating Word2Vec using Multiple GPUs. |
MLHPC@SC |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Ammar Ahmad Awan, Hari Subramoni, Dhabaleswar K. Panda 0001 |
An In-depth Performance Characterization of CPU- and GPU-based DNN Training on Modern Architectures. |
MLHPC@SC |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Steven R. Young, Derek C. Rose, J. Travis Johnston, William T. Heller, Thomas P. Karnowski, Thomas E. Potok, Robert M. Patton, Gabriel N. Perdue, Jonathan A. Miller |
Evolving Deep Networks Using HPC. |
MLHPC@SC |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhenyu Li 0005, James Davis 0006, Stephen A. Jarvis |
An Efficient Task-based All-Reduce for Machine Learning Applications. |
MLHPC@SC |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | |
Proceedings of the Machine Learning on HPC Environments, MLHPC@SC 2017, Denver, CO, USA, November 13, 2017 |
MLHPC@SC |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | J. Travis Johnston, Steven R. Young, David Hughes, Robert M. Patton, Devin White |
Optimizing Convolutional Neural Networks for Cloud Detection. |
MLHPC@SC |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Janis Keuper, Franz-Josef Pfreundt |
Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability. |
MLHPC@SC |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | Onkar Bhardwaj, Guojing Cong |
Practical Efficiency of Asynchronous Stochastic Gradient Descent. |
MLHPC@SC |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | |
2nd Workshop on Machine Learning in HPC Environments, MLHPC@SC, Salt Lake City, UT, USA, November 14, 2016 |
MLHPC@SC |
2016 |
DBLP BibTeX RDF |
|
| 1 | Catherine D. Schuman, Adam Disney, Susheela P. Singh, Grant Bruer, J. Parker Mitchell, Aleksander Klibisz, James S. Plank |
Parallel Evolutionary Optimization for Neuromorphic Network Training. |
MLHPC@SC |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | Nikoli Dryden, Tim Moon, Sam Ade Jacobs, Brian Van Essen |
Communication Quantization for Data-Parallel Training of Deep Neural Networks. |
MLHPC@SC |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | Yaohung M. Tsai, Piotr Luszczek, Jakub Kurzak, Jack J. Dongarra |
Performance-Portable Autotuning of OpenCL Kernels for Convolutional Layers of Deep Neural Networks. |
MLHPC@SC |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | Miguel Camelo, Jeroen Famaey, Steven Latré |
A Scalable Parallel Q-Learning Algorithm for Resource Constrained Decentralized Computing Environments. |
MLHPC@SC |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas E. Potok, Catherine D. Schuman, Steven R. Young, Robert M. Patton, Federico M. Spedalieri, Jeremy Liu, Ke-Thia Yao, Garrett S. Rose, Gangotree Chakma |
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. |
MLHPC@SC |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | |
Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments, MLHPC 2015, Austin, Texas, USA, November 15, 2015 |
MLHPC@SC |
2015 |
DBLP DOI BibTeX RDF |
|
| 1 | Steven R. Young, Derek C. Rose, Thomas P. Karnowski, Seung-Hwan Lim, Robert M. Patton |
Optimizing deep learning hyper-parameters through an evolutionary algorithm. |
MLHPC@SC |
2015 |
DBLP DOI BibTeX RDF |
|
| 1 | Catherine D. Schuman, Adam Disney, John Reynolds 0001 |
Dynamic adaptive neural network arrays: a neuromorphic architecture. |
MLHPC@SC |
2015 |
DBLP DOI BibTeX RDF |
|
| 1 | Janis Keuper, Franz-Josef Pfreundt |
Asynchronous parallel stochastic gradient descent: a numeric core for scalable distributed machine learning algorithms. |
MLHPC@SC |
2015 |
DBLP DOI BibTeX RDF |
|
| 1 | Brian Van Essen, Hyojin Kim, Roger A. Pearce, Kofi Boakye, Barry Chen |
LBANN: livermore big artificial neural network HPC toolkit. |
MLHPC@SC |
2015 |
DBLP DOI BibTeX RDF |
|
| 1 | Markus Götz, Christian Bodenstein, Morris Riedel |
HPDBSCAN: highly parallel DBSCAN. |
MLHPC@SC |
2015 |
DBLP DOI BibTeX RDF |
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