| Brief announcement: The problem based benchmark suite J Shun, GE Blelloch, JT Fineman, PB Gibbons, A Kyrola, HV Simhadri, ... Proceedings of the twenty-fourth annual ACM symposium on Parallelism in …, 2012 | 244 | 2012 |
| Protonn: Compressed and accurate knn for resource-scarce devices C Gupta, AS Suggala, A Goyal, HV Simhadri, B Paranjape, A Kumar, ... International conference on machine learning, 1331-1340, 2017 | 196 | 2017 |
| DROCC: Deep robust one-class classification S Goyal, A Raghunathan, M Jain, HV Simhadri, P Jain International conference on machine learning, 3711-3721, 2020 | 158 | 2020 |
| Low depth cache-oblivious algorithms GE Blelloch, PB Gibbons, HV Simhadri Proceedings of the twenty-second annual ACM symposium on Parallelism in …, 2010 | 155 | 2010 |
| Rand-nsg: Fast accurate billion-point nearest neighbor search on a single node SJ Subramanya, D Lnu, HV Simhadri, R Krishnawamy | 121 | 2019 |
| Scheduling irregular parallel computations on hierarchical caches GE Blelloch, JT Fineman, PB Gibbons, HV Simhadri Proceedings of the twenty-third annual ACM symposium on Parallelism in …, 2011 | 106 | 2011 |
| Towards optimal and efficient perfectly secure message transmission M Fitzi, M Franklin, J Garay, HV Simhadri Theory of Cryptography Conference, 2007 | 95 | 2007 |
| Word2Sense: Sparse interpretable word embeddings A Panigrahi, HV Simhadri, C Bhattacharyya Proceedings of the 57th annual meeting of the Association for Computational …, 2019 | 65 | 2019 |
| Multiple instance learning for efficient sequential data classification on resource-constrained devices D Dennis, C Pabbaraju, HV Simhadri, P Jain Advances in Neural Information Processing Systems 31, 2018 | 55 | 2018 |
| RNNPool: Efficient non-linear pooling for RAM constrained inference O Saha, A Kusupati, HV Simhadri, M Varma, P Jain Advances in Neural Information Processing Systems 33, 20473-20484, 2020 | 54 | 2020 |
| Write-avoiding algorithms E Carson, J Demmel, L Grigori, N Knight, P Koanantakool, O Schwartz, ... 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016 | 52 | 2016 |
| Parallel and i/o efficient set covering algorithms GE Blelloch, HV Simhadri, K Tangwongsan Proceedings of the twenty-fourth annual ACM symposium on Parallelism in …, 2012 | 52 | 2012 |
| Shallow rnn: accurate time-series classification on resource constrained devices D Dennis, DAE Acar, V Mandikal, VS Sadasivan, V Saligrama, ... Advances in neural information processing systems 32, 2019 | 43* | 2019 |
| EdgeML: Machine Learning for resource-constrained edge devices DK Dennis, Y Gaurkar, S Gopinath, S Goyal, C Gupta, M Jain, S Jaiswal, ... URL https://github. com/Microsoft/EdgeML, 2020 | 39 | 2020 |
| Results of the NeurIPS’21 challenge on billion-scale approximate nearest neighbor search HV Simhadri, G Williams, M Aumüller, M Douze, A Babenko, D Baranchuk, ... NeurIPS 2021 Competitions and Demonstrations Track, 177-189, 2022 | 37 | 2022 |
| Gesturepod: Enabling on-device gesture-based interaction for white cane users SG Patil, DK Dennis, C Pabbaraju, N Shaheer, HV Simhadri, V Seshadri, ... Proceedings of the 32nd Annual ACM symposium on User Interface Software and …, 2019 | 37* | 2019 |
| Freshdiskann: A fast and accurate graph-based ann index for streaming similarity search A Singh, SJ Subramanya, R Krishnaswamy, HV Simhadri arXiv preprint arXiv:2105.09613, 2021 | 27 | 2021 |
| Experimental analysis of space-bounded schedulers HV Simhadri, GE Blelloch, JT Fineman, PB Gibbons, A Kyrola ACM Transactions on Parallel Computing (TOPC) 3 (1), 1-27, 2016 | 25 | 2016 |
| Extending the nested parallel model to the nested dataflow model with provably efficient schedulers D Dinh, HV Simhadri, Y Tang Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and …, 2016 | 24 | 2016 |
| Diskann: Fast accurate billion-point nearest neighbor search on a single node S Jayaram Subramanya, F Devvrit, HV Simhadri, R Krishnawamy, ... Advances in Neural Information Processing Systems 32, 2019 | 21 | 2019 |
Guy BlellochProfessor of Computer Science, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
