| From" think like a vertex" to" think like a graph" Y Tian, A Balmin, SA Corsten, S Tatikonda, J McPherson Proceedings of the VLDB Endowment 7 (3), 193-204, 2013 | 464 | 2013 |
| SystemML: Declarative machine learning on MapReduce A Ghoting, R Krishnamurthy, E Pednault, B Reinwald, V Sindhwani, ... 2011 IEEE 27th International conference on data engineering, 231-242, 2011 | 460 | 2011 |
| Systemml: Declarative machine learning on spark M Boehm, MW Dusenberry, D Eriksson, AV Evfimievski, FM Manshadi, ... Proceedings of the VLDB Endowment 9 (13), 1425-1436, 2016 | 257 | 2016 |
| Systems and methods for processing machine learning algorithms in a MapReduce environment DR Burdick, A Ghoting, R Krishnamurthy, EPD Pednault, B Reinwald, ... US Patent 8,612,368, 2013 | 114 | 2013 |
| Hybrid parallelization strategies for large-scale machine learning in systemml M Boehm, S Tatikonda, B Reinwald, P Sen, Y Tian, DR Burdick, ... Proceedings of the VLDB Endowment 7 (7), 553-564, 2014 | 111 | 2014 |
| Toward terabyte pattern mining: an architecture-conscious solution G Buehrer, S Parthasarathy, S Tatikonda, T Kurc, J Saltz Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of …, 2007 | 80 | 2007 |
| Locality sensitive outlier detection: A ranking driven approach Y Wang, S Parthasarathy, S Tatikonda 2011 IEEE 27th International Conference on Data Engineering, 410-421, 2011 | 79 | 2011 |
| Resource elasticity for large-scale machine learning B Huang, M Boehm, Y Tian, B Reinwald, S Tatikonda, FR Reiss Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 75 | 2015 |
| TRIPS and TIDES: new algorithms for tree mining S Tatikonda, S Parthasarathy, T Kurc Proceedings of the 15th ACM international conference on Information and …, 2006 | 62 | 2006 |
| On optimizing machine learning workloads via kernel fusion A Ashari, S Tatikonda, M Boehm, B Reinwald, K Campbell, J Keenleyside, ... ACM SIGPLAN Notices 50 (8), 173-182, 2015 | 59 | 2015 |
| SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning. T Elgamal, S Luo, M Boehm, AV Evfimievski, S Tatikonda, B Reinwald, ... CIDR 2 (6), 25, 2017 | 56 | 2017 |
| Posting list intersection on multicore architectures S Tatikonda, BB Cambazoglu, FP Junqueira Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 54 | 2011 |
| Mining tree-structured data on multicore systems S Tatikonda, S Parthasarathy Proceedings of VLDB, 2009, 2008 | 54 | 2008 |
| LCS-TRIM: Dynamic programming meets XML indexing and querying S Tatikonda, S Parthasarathy, M Goyder Proceedings of the 33rd international conference on Very large data bases, 63-74, 2007 | 50 | 2007 |
| SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. M Boehm, DR Burdick, AV Evfimievski, B Reinwald, FR Reiss, P Sen, ... IEEE Data Eng. Bull. 37 (3), 52-62, 2014 | 49 | 2014 |
| Hashing tree-structured data: Methods and applications S Tatikonda, S Parthasarathy 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 429-440, 2010 | 45 | 2010 |
| A survey of graph mining techniques for biological datasets S Parthasarathy, S Tatikonda, D Ucar Managing and mining graph data, 547-580, 2010 | 42 | 2010 |
| Pipelined approach to fused kernels for optimization of machine learning workloads on graphical processing units A Ashari, M Boehm, KW Campbell, A Evfimievski, JD Keenleyside, ... US Patent 9,972,063, 2018 | 36 | 2018 |
| On efficient posting list intersection with multicore processors S Tatikonda, F Junqueira, BB Cambazoglu, V Plachouras Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009 | 32 | 2009 |
| Hybrid parallelization strategies for machine learning programs on top of MapReduce M Boehm, D Burdick, B Reinwald, P Sen, S Tatikonda, Y Tian, ... US Patent 9,286,044, 2016 | 29 | 2016 |
Sitaram AsurDirector, Salesforce (formerly in HP Labs)Verified email at salesforce.com
