| Mitigating the compiler optimization phase-ordering problem using machine learning S Kulkarni, J Cavazos Proceedings of the ACM international conference on Object oriented …, 2012 | 151 | 2012 |
| An evaluation of different modeling techniques for iterative compilation E Park, S Kulkarni, J Cavazos Proceedings of the 14th international conference on Compilers, architectures …, 2011 | 82 | 2011 |
| Automatic construction of inlining heuristics using machine learning S Kulkarni, J Cavazos, C Wimmer, D Simon Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation …, 2013 | 64 | 2013 |
| A transactional memory with automatic performance tuning Q Wang, S Kulkarni, J Cavazos, M Spear ACM Transactions on Architecture and Code Optimization (TACO) 8 (4), 1-23, 2012 | 55 | 2012 |
| Towards applying machine learning to adaptive transactional memory Q Wang, S Kulkarni, JV Cavazos, M Spear Proceedings of the 6th ACM SIGPLAN Workshop on Transactional Computing, 8-32, 2011 | 17 | 2011 |
| Device independent mobile application controller for remote administration of a server over a GPRS link using a J2ME cellular S Kulkarni, S Diwan, NK Bansode Proceedings of the IEEE INDICON 2004. First India Annual Conference, 2004 …, 2004 | 7 | 2004 |
| Improving compiler optimizations using machine learning S Kulkarni University of Delaware, 2014 | 3 | 2014 |
| Redefining connectivity: Unifying mobile communication with the internet SS Kulkarni, SL Ali CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference …, 2006 | 2 | 2006 |
John CavazosAssistant ProfessorVerified email at udel.edu
