| A study of BFLOAT16 for deep learning training D Kalamkar, D Mudigere, N Mellempudi, D Das, K Banerjee, S Avancha, ... arXiv preprint arXiv:1905.12322, 2019 | 393 | 2019 |
| Method and apparatus for location determination using mini-beacons R Masuoka, S Avancha, S Thakkar, J Agre US Patent 7,751,829, 2010 | 390 | 2010 |
| Privacy in mobile technology for personal healthcare S Avancha, A Baxi, D Kotz ACM Computing Surveys (CSUR) 45 (1), 1-54, 2012 | 335 | 2012 |
| Scaledeep: A scalable compute architecture for learning and evaluating deep networks S Venkataramani, A Ranjan, S Banerjee, D Das, S Avancha, ... Proceedings of the 44th Annual International Symposium on Computer …, 2017 | 281 | 2017 |
| Using ontologies in the semantic web: A survey L Ding, P Kolari, Z Ding, S Avancha Ontologies: A Handbook of Principles, Concepts and Applications in …, 2007 | 241 | 2007 |
| Mixed precision training of convolutional neural networks using integer operations D Das, N Mellempudi, D Mudigere, D Kalamkar, S Avancha, K Banerjee, ... arXiv preprint arXiv:1802.00930, 2018 | 219 | 2018 |
| Distributed deep learning using synchronous stochastic gradient descent D Das, S Avancha, D Mudigere, K Vaidynathan, S Sridharan, D Kalamkar, ... arXiv preprint arXiv:1602.06709, 2016 | 217 | 2016 |
| Security for sensor networks J Undercoffer, S Avancha, A Joshi, J Pinkston CADIP Research Symposium, 25-26, 2002 | 192 | 2002 |
| Dreggie: Semantic service discovery for m-commerce applications D Chakraborty, F Perich, S Avancha, A Joshi Workshop on reliable and secure applications in mobile environment, in …, 2001 | 186 | 2001 |
| A privacy framework for mobile health and home-care systems D Kotz, S Avancha, A Baxi Proceedings of the first ACM workshop on Security and privacy in medical and …, 2009 | 171 | 2009 |
| Anatomy of high-performance deep learning convolutions on SIMD architectures E Georganas, S Avancha, K Banerjee, D Kalamkar, G Henry, H Pabst, ... SC18: International Conference for High Performance Computing, Networking …, 2018 | 147 | 2018 |
| Distgnn: Scalable distributed training for large-scale graph neural networks V Md, S Misra, G Ma, R Mohanty, E Georganas, A Heinecke, D Kalamkar, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 144 | 2021 |
| Ontology-driven adaptive sensor networks S Avancha, C Patel, A Joshi MobiQuitous 2004, 194--202, 2004 | 125 | 2004 |
| Dmazerunner: Executing perfectly nested loops on dataflow accelerators S Dave, Y Kim, S Avancha, K Lee, A Shrivastava ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-27, 2019 | 112 | 2019 |
| Enhanced service discovery in bluetooth S Avancha, A Joshi, T Finin Computer 35 (6), 96-99, 2002 | 112 | 2002 |
| Hardware acceleration of sparse and irregular tensor computations of ml models: A survey and insights S Dave, R Baghdadi, T Nowatzki, S Avancha, A Shrivastava, B Li Proceedings of the IEEE 109 (10), 1706-1752, 2021 | 103 | 2021 |
| Secure sensor networks for perimeter protection S Avancha, J Undercoffer, A Joshi, J Pinkston Computer Networks 43 (4), 421-435, 2003 | 69 | 2003 |
| Apparatuses, methods, and systems for neural networks S Venkataramani, D Das, A Ranjan, S Banerjee, S Avancha, ... US Patent App. 16/317,497, 2019 | 64 | 2019 |
| Security for wireless sensor networks S Avancha, J Undercoffer, A Joshi, J Pinkston Wireless sensor networks, 253-275, 2004 | 63 | 2004 |
| Intel nervana neural network processor-t (nnp-t) fused floating point many-term dot product B Hickmann, J Chen, M Rotzin, A Yang, M Urbanski, S Avancha 2020 IEEE 27th Symposium on Computer Arithmetic (ARITH), 133-136, 2020 | 60 | 2020 |
