| Cooperative caching: Using remote client memory to improve file system performance MD Dahlin, RY Wang, TE Anderson, DA Patterson Proceedings of the 1st USENIX conference on Operating Systems Design and …, 1994 | 1124* | 1994 |
| Automatic anomaly detection in the cloud via statistical learning J Hochenbaum, OS Vallis, A Kejariwal arXiv preprint arXiv:1704.07706, 2017 | 261 | 2017 |
| Compiler-driven dependence profiling to guide program parallelization P Wu, A Kejariwal, C Caşcaval Languages and Compilers for Parallel Computing: 21th International Workshop …, 2008 | 99* | 2008 |
| System and method for assessing publisher quality B Bhushanam, H Wang, D Gelman, A Kejariwal, J Koh, V Girotra, ... US Patent App. 16/059,391, 2019 | 92 | 2019 |
| Leveraging cloud data to mitigate user experience from ‘breaking bad’ NA James, A Kejariwal, DS Matteson 2016 IEEE International Conference on Big Data (Big Data), 3499-3508, 2016 | 83 | 2016 |
| System and method for analyzing dynamic performance of complex applications R Jalan, A Kejariwal US Patent 8,856,767, 2014 | 72 | 2014 |
| On the performance potential of different types of speculative thread-level parallelism: The DL version of this paper includes corrections that were not made available in the … A Kejariwal, X Tian, W Li, M Girkar, S Kozhukhov, H Saito, U Banerjee, ... Proceedings of the 20th annual international conference on Supercomputing, 24, 2006 | 71 | 2006 |
| Real time analytics: algorithms and systems A Kejariwal, S Kulkarni, K Ramasamy arXiv preprint arXiv:1708.02621, 2017 | 68 | 2017 |
| Introducing practical and robust anomaly detection in a time series A Kejariwal Twitter Engineering Blog. Web 15, 2015 | 63 | 2015 |
| Synthesis-driven exploration of pipelined embedded processors P Mishra, A Kejariwal, N Dutt 17th International Conference on VLSI Design. Proceedings., 921-926, 2004 | 51 | 2004 |
| Rapid exploration of pipelined processors through automatic generation of synthesizable RTL models P Mishra, A Kejariwal, N Dutt 14th IEEE International Workshop on Rapid Systems Prototyping, 2003 …, 2003 | 50 | 2003 |
| Tight analysis of the performance potential of thread speculation using spec cpu 2006 A Kejariwal, X Tian, M Girkar, W Li, S Kozhukhov, U Banerjee, A Nicolau, ... Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of …, 2007 | 47 | 2007 |
| Method and system for predicting performance of software applications on prospective hardware architecture A Kejariwal, P D'alberto, S Panigrahi, R Cammarota US Patent 8,818,787, 2014 | 45 | 2014 |
| Training recommender systems at scale: Communication-efficient model and data parallelism V Gupta, D Choudhary, P Tang, X Wei, X Wang, Y Huang, A Kejariwal, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 41 | 2021 |
| Efficient data layout techniques for fast machine learning-based document ranking A Kejariwal, G Vaitheeswaran, S Panigrahi US Patent 8,533,129, 2013 | 40 | 2013 |
| Compiler based code modification for use in document ranking A Kejariwal, G Vaitheeswaran, S Panigrahi US Patent 8,621,424, 2013 | 39 | 2013 |
| Comparative architectural characterization of SPEC CPU2000 and CPU2006 benchmarks on the intel® Core™ 2 Duo processor A Kejariwal, AV Veidenbaum, A Nicolau, X Tian, M Girkar, H Saito, ... 2008 International Conference on Embedded Computer Systems: Architectures …, 2008 | 36 | 2008 |
| Dreamshard: Generalizable embedding table placement for recommender systems D Zha, L Feng, Q Tan, Z Liu, KH Lai, B Bhushanam, Y Tian, A Kejariwal, ... Advances in Neural Information Processing Systems 35, 15190-15203, 2022 | 35 | 2022 |
| History-aware self-scheduling A Kejariwal, A Nicolau, CD Polychronopoulos 2006 International Conference on Parallel Processing (ICPP'06), 185-192, 2006 | 35 | 2006 |
| Autoshard: Automated embedding table sharding for recommender systems D Zha, L Feng, B Bhushanam, D Choudhary, J Nie, Y Tian, J Chae, Y Ma, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 33 | 2022 |
Alex NicolauProfessor of Computer Science, University of CaliforniaVahvistettu sähköpostiosoite verkkotunnuksessa ics.uci.edu
