Shirish Tatikonda

Publication Activity (10 Years)

Years Active: 2005-2017
Publications (10 Years): 4

Top Topics

Plan Generation

Descriptive Statistics

Machine Learning

Top Venues

Proc. VLDB Endow.

Publications

Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning. CIDR (2017)
Matthias Boehm, Michael Dusenberry, Deron Eriksson, Alexandre V. Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick Reiss, Prithviraj Sen, Arvind Surve, Shirish Tatikonda
SystemML: Declarative Machine Learning on Spark. Proc. VLDB Endow. 9 (13) (2016)
Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss
Resource Elasticity for Large-Scale Machine Learning. SIGMOD Conference (2015)
Arash Ashari, Shirish Tatikonda, Matthias Boehm, Berthold Reinwald, Keith Campbell, John Keenleyside, P. Sadayappan
On optimizing machine learning workloads via kernel fusion. PPOPP (2015)
Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML. Proc. VLDB Endow. 7 (7) (2014)
Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy
One, Two, Hash! Counting Hash Tables for Flash Devices. CODS (2014)
Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. IEEE Data Eng. Bull. 37 (3) (2014)
Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
Compiling machine learning algorithms with SystemML. SoCC (2013)
Yuanyuan Tian, Andrey Balmin, Severin Andreas Corsten, Shirish Tatikonda, John McPherson
From "Think Like a Vertex" to "Think Like a Graph". Proc. VLDB Endow. 7 (3) (2013)
Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy
Hash in a flash: Hash tables for flash devices. IEEE BigData (2013)
Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy
Hash in a Flash: Hash Tables for Solid State Devices CoRR (2012)
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwald
Scalable and Numerically Stable Descriptive Statistics in SystemML. ICDE (2012)
Ye Wang, Srinivasan Parthasarathy, Shirish Tatikonda
Locality Sensitive Outlier Detection: A ranking driven approach. ICDE (2011)
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan
SystemML: Declarative machine learning on MapReduce. ICDE (2011)
Shirish Tatikonda, Berkant Barla Cambazoglu, Flavio Paiva Junqueira
Posting list intersection on multicore architectures. SIGIR (2011)
Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda
A distributed placement service for graph-structured and tree-structured data. PPOPP (2010)
Shirish Tatikonda, Srinivasan Parthasarathy
Hashing tree-structured data: Methods and applications. ICDE (2010)
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikonda
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework. ICDM Workshops (2009)
Shirish Tatikonda, Srinivasan Parthasarathy
Mining Tree-Structured Data on Multicore Systems. Proc. VLDB Endow. 2 (1) (2009)
Shirish Tatikonda, Flavio Junqueira, Berkant Barla Cambazoglu, Vassilis Plachouras
On efficient posting list intersection with multicore processors. SIGIR (2009)
Shirish Tatikonda, Srinivasan Parthasarathy
An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures. PPOPP (2008)
Shirish Tatikonda, Srinivasan Parthasarathy, Matthew Goyder
LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying. VLDB (2007)
Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shirish Tatikonda, Xi Zhang, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz
Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms. IPDPS (2007)
Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda, Tahsin M. Kurç, Joel H. Saltz
Toward terabyte pattern mining: an architecture-conscious solution. PPOPP (2007)
Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç
TRIPS and TIDES: new algorithms for tree mining. CIKM (2006)
Gregory Buehrer, Amol Ghoting, Xi Zhang, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz
I/O conscious algorithm design and systems support for data analysis on emerging architectures. IPDPS (2006)
Huai Wang, Amol Ghoting, Gregory Buehrer, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz
A Services Oriented Framework for Next Generation Data Analysis Centers. IPDPS (2005)
Huai Wang, Srinivasan Parthasarathy, Amol Ghoting, Shirish Tatikonda, Gregory Buehrer, Tahsin M. Kurç, Joel H. Saltz
Design of a next generation sampling service for large scale data analysis applications. ICS (2005)