| Deep learning for computational chemistry GB Goh, NO Hodas, A Vishnu Journal of computational chemistry 38 (16), 1291-1307, 2017 | 323 | 2017 |
| A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems A Hameed, A Khoshkbarforoushha, R Ranjan, PP Jayaraman, J Kolodziej, ... Computing 98 (7), 751-774, 2016 | 291 | 2016 |
| An overview of energy efficiency techniques in cluster computing systems GL Valentini, W Lassonde, SU Khan, N Min-Allah, SA Madani, J Li, ... Cluster Computing 16 (1), 3-15, 2013 | 254 | 2013 |
| A survey on resource allocation in high performance distributed computing systems H Hussain, SUR Malik, A Hameed, SU Khan, G Bickler, N Min-Allah, ... Parallel Computing 39 (11), 709-736, 2013 | 131 | 2013 |
| Chemception: a deep neural network with minimal chemistry knowledge matches the performance of expert-developed QSAR/QSPR models GB Goh, C Siegel, A Vishnu, NO Hodas, N Baker arXiv preprint arXiv:1706.06689, 2017 | 104 | 2017 |
| Building multirail infiniband clusters: Mpi-level design and performance evaluation J Liu, A Vishnu, DK Panda SC'04: Proceedings of the 2004 ACM/IEEE conference on Supercomputing, 33-33, 2004 | 85 | 2004 |
| Designing topology-aware collective communication algorithms for large scale infiniband clusters: Case studies with scatter and gather K Kandalla, H Subramoni, A Vishnu, DK Panda 2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010 | 83 | 2010 |
| Iso-energy-efficiency: An approach to power-constrained parallel computation S Song, CY Su, R Ge, A Vishnu, KW Cameron 2011 IEEE International Parallel & Distributed Processing Symposium, 128-139, 2011 | 65 | 2011 |
| GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent J Daily, A Vishnu, T Warfel, V Amatya https://arxiv.org/pdf/1803.05880.pdf, 2018 | 55* | 2018 |
| Smiles2vec: An interpretable general-purpose deep neural network for predicting chemical properties GB Goh, NO Hodas, C Siegel, A Vishnu arXiv preprint arXiv:1712.02034, 2017 | 53 | 2017 |
| Distributed tensorflow with MPI A Vishnu, C Siegel, J Daily arXiv preprint arXiv:1603.02339, 2016 | 48 | 2016 |
| Hot-spot avoidance with multi-pathing over infiniband: An mpi perspective A Vishnu, M Koop, A Moody, AR Mamidala, S Narravula, DK Panda Seventh IEEE International Symposium on Cluster Computing and the Grid …, 2007 | 48 | 2007 |
| Performance analysis of data intensive cloud systems based on data management and replication: a survey SUR Malik, SU Khan, SJ Ewen, N Tziritas, J Kolodziej, AY Zomaya, ... Distributed and Parallel Databases 34 (2), 179-215, 2016 | 46 | 2016 |
| Efficient shared memory and RDMA based design for MPI_Allgather over infiniband AR Mamidala, A Vishnu, DK Panda European Parallel Virtual Machine/Message Passing Interface Users’ Group …, 2006 | 45 | 2006 |
| Mapping communication layouts to network hardware characteristics on massive-scale blue gene systems P Balaji, R Gupta, A Vishnu, P Beckman Computer Science-Research and Development 26 (3-4), 247-256, 2011 | 42 | 2011 |
| How much chemistry does a deep neural network need to know to make accurate predictions? GB Goh, C Siegel, A Vishnu, N Hodas, N Baker 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1340-1349, 2018 | 36 | 2018 |
| A case for application-oblivious energy-efficient MPI runtime A Venkatesh, A Vishnu, K Hamidouche, N Tallent, D Panda, D Kerbyson, ... SC'15: Proceedings of the International Conference for High Performance …, 2015 | 36* | 2015 |
| Designing energy efficient communication runtime systems for data centric programming models A Vishnu, S Song, A Marquez, K Barker, D Kerbyson, K Cameron, P Balaji 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l …, 2010 | 35 | 2010 |
| Evaluating infiniband performance with pci express J Liu, A Mamidala, A Vishnu, DK Panda IEEE Micro 25 (1), 20-29, 2005 | 35 | 2005 |
| Energy templates: Exploiting application information to save energy DJ Kerbyson, A Vishnu, KJ Barker 2011 IEEE International Conference on Cluster Computing, 225-233, 2011 | 33 | 2011 |
Dhabaleswar K. PandaProfessor of Computer Science, The Ohio State UniversityVerifierad e-postadress på cse.ohio-state.edu
