| Gpcnet: Designing a benchmark suite for inducing and measuring contention in hpc networks S Chunduri, T Groves, P Mendygral, B Austin, J Balma, K Kandalla, ... Proceedings of the International Conference for High Performance Computing …, 2019 | 50 | 2019 |
| MLPerf™ HPC: A holistic benchmark suite for scientific machine learning on HPC systems S Farrell, M Emani, J Balma, L Drescher, A Drozd, A Fink, G Fox, D Kanter, ... 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2021 | 22 | 2021 |
| Performance on Trinity Phase 2 (a Cray XC40 utilizing Intel Xeon Phi processors) with Acceptance Applications and Benchmarks. AM Agelastos, M Rajan, N Wichmann, R Baker, SP Domino, EW Draeger, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | 12 | 2017 |
| Recombination of artificial neural networks A Vose, J Balma, A Heye, A Rigazzi, C Siegel, D Moise, B Robbins, ... arXiv preprint arXiv:1901.03900, 2019 | 6 | 2019 |
| The convergence of HPC, ai and Big Data in rapid-response to the COVID-19 pandemic SR Sukumar, JA Balma, CD Rickett, KJ Maschhoff, J Landman, CR Yates, ... Smoky Mountains Computational Sciences and Engineering Conference, 157-172, 2021 | 5 | 2021 |
| High performance scalable deep learning with the cray programming environments deep learning plugin P Mendygral, N Hill, K Kandalla, D Moise, J Balma, M Marcel Schongens Proceedings of CUG, 2018 | 3 | 2018 |
| Survival of the fittest amidst the cambrian explosion of processor architectures for artificial intelligence SR Sukumar, JA Balma, C Xu, S Serebryakov 2021 IEEE/ACM Programming Environments for Heterogeneous Computing (PEHC), 34-43, 2021 | 2 | 2021 |
| Deep learning predicts protein-ligand interactions J Balma, AD Vose, YK Peterson, AG Chittiboyina, P Pandey, CR Yates, ... 2020 IEEE International Conference on Big Data (Big Data), 5627-5629, 2020 | 2 | 2020 |
| PharML. Bind: pharmacologic machine learning for protein-ligand interactions AD Vose, J Balma, D Farnsworth, K Anderson, YK Peterson arXiv preprint arXiv:1911.06105, 2019 | 2 | 2019 |
| GPCNeT S Chunduri, T Groves, P Mendygral, B Austin, J Balma, K Kandalla, ... | | 2019 |
| Deep Neural Network Hyperparameter Optimization with Genetic Algorithms A Vose, J Balma, G Wenes, R Sukumar | | 2017 |
| 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC)| 978-1-6654-1124-0/21/$31.00© 2021 IEEE| DOI: 10.1109/MLHPC54614. 2021.00015 S Abraham, V Anantharaj, RS Assary, Y Babuji, J Balewski, J Balma, ... | | |
| Performance on Trinity Phase 2 (processors) with Acceptance-Applications and Benchmarks A Agelastos, M Rajan, N Wichmann, R Baker, S Domino, E Draeger, ... | | |
Peter MendygralHewlett Packard EnterpriseVerified email at hpe.com
