| Deep learning inference in facebook data centers: Characterization, performance optimizations and hardware implications J Park, M Naumov, P Basu, S Deng, A Kalaiah, D Khudia, J Law, P Malani, ... arXiv preprint arXiv:1811.09886, 2018 | 200 | 2018 |
| Distributed task migration for thermal management in many-core systems Y Ge, P Malani, Q Qiu Proceedings of the 47th Design Automation Conference, 579-584, 2010 | 157 | 2010 |
| Workload prediction and dynamic voltage scaling for MPEG decoding Y Tan, P Malani, Q Qiu, Q Wu Proceedings of the 2006 Asia and South Pacific Design Automation Conference …, 2006 | 59 | 2006 |
| Adaptive scheduling and voltage scaling for multiprocessor real-time applications with non-deterministic workload P Malani, P Mukre, Q Qiu, Q Wu Proceedings of the conference on Design, automation and test in Europe, 652-657, 2008 | 25 | 2008 |
| Accelerating pattern matching in neuromorphic text recognition system using intel xeon phi coprocessor K Ahmed, Q Qiu, P Malani, M Tamhankar 2014 International Joint Conference on Neural Networks (IJCNN), 4272-4279, 2014 | 12 | 2014 |
| Low power task scheduling and mapping for applications with conditional branches on heterogeneous multi-processor system Y Ge, Y Zhang, P Malani, Q Wu, Q Qiu Journal of Low Power Electronics 8 (5), 535-551, 2012 | 11 | 2012 |
| Resource-aware high performance scheduling for embedded mpsocs with the application of mpeg decoding P Malani, Y Tan, Q Qiu 2007 IEEE International Conference on Multimedia and Expo, 715-718, 2007 | 10 | 2007 |
| QingWu,“Workload prediction and dynamic voltage scaling for mpeg decoding,” Y Tan, P Malani, Q Qiu Design Automation, 6, 2006 | 8 | 2006 |
| Power monitoring system for virtual platform simulation P Malani, M Tamhankar US Patent App. 14/208,934, 2015 | 6 | 2015 |
| Profile-based low power scheduling for conditional task graph: A communication aware approach P Malani, P Mukre, Q Qiu 2007 IEEE International Symposium on Circuits and Systems, 2116-2119, 2007 | 6 | 2007 |
| Deep Learning Inference in Facebook Data Centers: Characterization J Park, M Naumov, P Basu, S Deng, A Kalaiah, D Khudia, J Law, P Malani, ... Performance Optimizations and Hardware Implications. arXiv, 2018 | 5 | 2018 |
| Power optimization for conditional task graphs in DVS enabled multiprocessor systems P Malani, P Mukre, Q Qiu 2007 IFIP International Conference on Very Large Scale Integration, 230-235, 2007 | 5 | 2007 |
| Transitive power modeling for improving resource efficiency in a hyperscale datacenter A Gilgur, B Coutinho, I Narayanan, P Malani Companion Proceedings of the Web Conference 2021, 182-191, 2021 | 3 | 2021 |
| Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. CoRR abs/1811.09886 (2018) J Park, M Naumov, P Basu, S Deng, A Kalaiah, DS Khudia, J Law, ... arXiv preprint arXiv:1811.09886, 2018 | 3 | 2018 |
| Methods and apparatus to optimize platform simulation resource consumption P Malani, M Tamhankar, R Jayaraman US Patent App. 15/022,411, 2016 | 2 | 2016 |
| Expanding Datacenter Capacity with DVFS Boosting: A safe and scalable deployment experience L Piga, I Narayanan, A Sundarrajan, M Skach, Q Deng, B Maity, ... Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 1 | 2024 |
| Tutorial: MARS: A framework for runtime monitoring, modeling, and management of realtime systems B Donyanavard, B Maity, T Muck, P Malani, N Dutt Proceedings of the 2023 International Conference on Hardware/Software …, 2023 | 1 | 2023 |
| Power monitoring system for virtual platform simulation P Malani, M Tamhankar US Patent 11,403,202, 2022 | 1 | 2022 |
| High-performance low-power task scheduling on Multiprocessor System-on-Chip PM Malani State University of New York at Binghamton, 2010 | 1 | 2010 |
| Interference and Need Aware Workload Colocation in Hyperscale Datacenters S Chakraborti, B Coutinho, S Dwarkadas, P Malani, B Sharma arXiv preprint arXiv:2207.12499, 2022 | | 2022 |
