Shirish Tatikonda

According to our database, Shirish Tatikonda authored at least 30 papers between 2005 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning.

Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016

SystemML: Declarative Machine Learning on Spark.

Matthias Boehm, Michael Dusenberry, Deron Eriksson, Alexandre V. Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick Reiss, Prithviraj Sen, Arvind Surve, Shirish Tatikonda

Proc. VLDB Endow., 2016

2015

Resource Elasticity for Large-Scale Machine Learning.

Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

On optimizing machine learning workloads via kernel fusion.

Arash Ashari, Shirish Tatikonda, Matthias Boehm, Berthold Reinwald, Keith Campbell, John Keenleyside, P. Sadayappan

Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015

2014

Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML.

Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan

Proc. VLDB Endow., 2014

SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.

Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian

IEEE Data Eng. Bull., 2014

One, Two, Hash! Counting Hash Tables for Flash Devices.

Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy

Proceedings of the 1st IKDD Conference on Data Sciences, Delhi, India, March 21 - 23, 2014, 2014

2013

From "Think Like a Vertex" to "Think Like a Graph".

Yuanyuan Tian, Andrey Balmin, Severin Andreas Corsten, Shirish Tatikonda, John McPherson

Proc. VLDB Endow., 2013

Compiling machine learning algorithms with SystemML.

Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian

Proceedings of the ACM Symposium on Cloud Computing, SOCC '13, 2013

Hash in a flash: Hash tables for flash devices.

Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Hash in a Flash: Hash Tables for Solid State Devices

Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy

CoRR, 2012

Scalable and Numerically Stable Descriptive Statistics in SystemML.

Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwald

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011

Posting list intersection on multicore architectures.

Shirish Tatikonda, Berkant Barla Cambazoglu, Flavio Paiva Junqueira

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Locality Sensitive Outlier Detection: A ranking driven approach.

Ye Wang, Srinivasan Parthasarathy, Shirish Tatikonda

Proceedings of the 27th International Conference on Data Engineering, 2011

SystemML: Declarative machine learning on MapReduce.

Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan

Proceedings of the 27th International Conference on Data Engineering, 2011

2010

A Survey of Graph Mining Techniques for Biological Datasets.

Srinivasan Parthasarathy, Shirish Tatikonda, Duygu Ucar

Proceedings of the Managing and Mining Graph Data, 2010

A distributed placement service for graph-structured and tree-structured data.

Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda

Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2010

Hashing tree-structured data: Methods and applications.

Shirish Tatikonda, Srinivasan Parthasarathy

Proceedings of the 26th International Conference on Data Engineering, 2010

2009

Mining Tree-Structured Data on Multicore Systems.

Shirish Tatikonda, Srinivasan Parthasarathy

Proc. VLDB Endow., 2009

On efficient posting list intersection with multicore processors.

Shirish Tatikonda, Flavio Junqueira, Berkant Barla Cambazoglu, Vassilis Plachouras

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework.

Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikonda

Proceedings of the ICDM Workshops 2009, 2009

2008

An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures.

Shirish Tatikonda, Srinivasan Parthasarathy

Proceedings of the 13th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2008

Architecture Conscious Data Mining.

Srinivasan Parthasarathy, Shirish Tatikonda, Gregory Buehrer, Amol Ghoting

Proceedings of the Next Generation of Data Mining., 2008

2007

LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying.

Shirish Tatikonda, Srinivasan Parthasarathy, Matthew Goyder

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Toward terabyte pattern mining: an architecture-conscious solution.

Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda, Tahsin M. Kurç, Joel H. Saltz

Proceedings of the 12th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2007

Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms.

Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shirish Tatikonda, Xi Zhang, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

2006

I/O conscious algorithm design and systems support for data analysis on emerging architectures.

Gregory Buehrer, Amol Ghoting, Xi Zhang, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz

Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

TRIPS and TIDES: new algorithms for tree mining.

Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç

Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005

A Services Oriented Framework for Next Generation Data Analysis Centers.

Huai Wang, Amol Ghoting, Gregory Buehrer, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz

Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

Design of a next generation sampling service for large scale data analysis applications.

Huai Wang, Srinivasan Parthasarathy, Amol Ghoting, Shirish Tatikonda, Gregory Buehrer, Tahsin M. Kurç, Joel H. Saltz

Proceedings of the 19th Annual International Conference on Supercomputing, 2005