Shirish Tatikonda
Shirish Tatikonda
Director, Artificial Intelligence
Geverifieerd e-mailadres voor target.com
Geciteerd door
Geciteerd door
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
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
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
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
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
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
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
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
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
Posting list intersection on multicore architectures
S Tatikonda, BB Cambazoglu, FP Junqueira
Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011
Mining tree-structured data on multicore systems
S Tatikonda, S Parthasarathy
Proceedings of VLDB, 2009, 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
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
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, 2017
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
Hashing tree-structured data: Methods and applications
S Tatikonda, S Parthasarathy
2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 429-440, 2010
A survey of graph mining techniques for biological datasets
S Parthasarathy, S Tatikonda, D Ucar
Managing and mining graph data, 547-580, 2010
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
Scalable and numerically stable descriptive statistics in systemml
Y Tian, S Tatikonda, B Reinwald
2012 IEEE 28th International Conference on Data Engineering, 1351-1359, 2012
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
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