Multi-core real-time scheduling for generalized parallel task models A Saifullah, J Li, K Agrawal, C Lu, C Gill Real-Time Systems 49 (4), 404-435, 2013 | 283 | 2013 |
Parallel boosted regression trees for web search ranking S Tyree, KQ Weinberger, K Agrawal, J Paykin Proceedings of the 20th international conference on World wide web, 387-396, 2011 | 130 | 2011 |
Analysis of federated and global scheduling for parallel real-time tasks J Li, JJ Chen, K Agrawal, C Lu, C Gill, A Saifullah 2014 26th Euromicro Conference on Real-Time Systems, 85-96, 2014 | 121 | 2014 |
Outstanding paper award: Analysis of global edf for parallel tasks J Li, K Agrawal, C Lu, C Gill 2013 25th Euromicro Conference on Real-Time Systems, 3-13, 2013 | 105 | 2013 |
Parallel real-time scheduling of DAGs A Saifullah, D Ferry, J Li, K Agrawal, C Lu, CD Gill IEEE Transactions on Parallel and Distributed Systems 25 (12), 3242-3252, 2014 | 102 | 2014 |
Localization in wireless sensor networks: Byzantines and mitigation techniques A Vempaty, O Ozdemir, K Agrawal, H Chen, PK Varshney IEEE Transactions on Signal Processing 61 (6), 1495-1508, 2012 | 97 | 2012 |
Nested parallelism in transactional memory K Agrawal, JT Fineman, J Sukha Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of …, 2008 | 87 | 2008 |
Executing task graphs using work-stealing K Agrawal, CE Leiserson, J Sukha 2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010 | 83 | 2010 |
Adaptive scheduling with parallelism feedback K Agrawal, Y He, WJ Hsu, CE Leiserson Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice …, 2006 | 81 | 2006 |
Adaptive learning of Byzantines' behavior in cooperative spectrum sensing A Vempaty, K Agrawal, P Varshney, H Chen 2011 IEEE wireless communications and networking conference, 1310-1315, 2011 | 73 | 2011 |
Adaptive work-stealing with parallelism feedback K Agrawal, CE Leiserson, Y He, WJ Hsu ACM Transactions on Computer Systems (TOCS) 26 (3), 7, 2008 | 73 | 2008 |
Stochastic neighbor compression M Kusner, S Tyree, K Weinberger, K Agrawal International Conference on Machine Learning, 622-630, 2014 | 55 | 2014 |
Adaptive work stealing with parallelism feedback K Agrawal, Y He, CE Leiserson Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of …, 2007 | 53 | 2007 |
Various compositions to form a triad of collocated dipoles/loops, for direction finding and polarization estimation X Yuan, KT Wong, Z Xu, K Agrawal IEEE sensors Journal 12 (6), 1763-1771, 2011 | 51 | 2011 |
A memory access model for highly-threaded many-core architectures L Ma, K Agrawal, RD Chamberlain Future Generation Computer Systems 30, 202-215, 2014 | 49 | 2014 |
Computing the processor desires of jobs in an adaptively parallel scheduling environment CE Leiserson, K Agrawal, WJ Hsu, Y He US Patent 8,510,741, 2013 | 49 | 2013 |
Memory models for open-nested transactions K Agrawal, CE Leiserson, J Sukha Proceedings of the 2006 workshop on Memory system performance and …, 2006 | 46 | 2006 |
A real-time scheduling service for parallel tasks D Ferry, J Li, M Mahadevan, K Agrawal, C Gill, C Lu 2013 IEEE 19th Real-Time and Embedded Technology and Applications Symposium …, 2013 | 44 | 2013 |
Deadlock avoidance for streaming computations with filtering P Li, K Agrawal, J Buhler, RD Chamberlain Proceedings of the twenty-second annual ACM symposium on Parallelism in …, 2010 | 41 | 2010 |
Safe open-nested transactions through ownership K Agrawal, I Lee, J Sukha ACM Sigplan Notices 44 (4), 151-162, 2009 | 39 | 2009 |