Shirish Tatikonda

30 papers A* 7A 6B 4Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2017 A conf
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning.
CIDR
Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen
2016 J jnl
SystemML: Declarative Machine Learning on Spark.
Proc. VLDB Endow.
Matthias Boehm, Michael Dusenberry, Deron Eriksson, Alexandre V. Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick Reiss, Prithviraj Sen, Arvind Surve, Shirish Tatikonda
2015 B conf
On optimizing machine learning workloads via kernel fusion.
PPoPP
Arash Ashari, Shirish Tatikonda, Matthias Boehm, Berthold Reinwald, Keith Campbell, John Keenleyside, P. Sadayappan
2015 — conf
Resource Elasticity for Large-Scale Machine Learning.
SIGMOD Conference
Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss
2014 J jnl
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML.
Proc. VLDB Endow.
Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan
2014 — conf
One, Two, Hash! Counting Hash Tables for Flash Devices.
CODS
Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy
2014 J jnl
SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.
IEEE Data Eng. Bull.
Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
2013 — conf
Compiling machine learning algorithms with SystemML.
SoCC
Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
2013 J jnl
From "Think Like a Vertex" to "Think Like a Graph".
Proc. VLDB Endow.
Yuanyuan Tian, Andrey Balmin, Severin Andreas Corsten, Shirish Tatikonda, John McPherson
2013 — conf
Hash in a flash: Hash tables for flash devices.
IEEE BigData
Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy
2012 J jnl
Hash in a Flash: Hash Tables for Solid State Devices
CoRR
Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy
2012 A* conf
Scalable and Numerically Stable Descriptive Statistics in SystemML.
ICDE
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwald
2011 A* conf
Locality Sensitive Outlier Detection: A ranking driven approach.
ICDE
Ye Wang, Srinivasan Parthasarathy, Shirish Tatikonda
2011 A* conf
Posting list intersection on multicore architectures.
SIGIR
Shirish Tatikonda, Berkant Barla Cambazoglu, Flavio Paiva Junqueira
2011 A* conf
SystemML: Declarative machine learning on MapReduce.
ICDE
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan
2010 — ch.
A Survey of Graph Mining Techniques for Biological Datasets.
Managing and Mining Graph Data
Srinivasan Parthasarathy, Shirish Tatikonda, Duygu Ucar
2010 B conf
A distributed placement service for graph-structured and tree-structured data.
PPoPP
Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda
2010 A* conf
Hashing tree-structured data: Methods and applications.
ICDE
Shirish Tatikonda, Srinivasan Parthasarathy
2009 J jnl
Mining Tree-Structured Data on Multicore Systems.
Proc. VLDB Endow.
Shirish Tatikonda, Srinivasan Parthasarathy
2009 A* conf
On efficient posting list intersection with multicore processors.
SIGIR
Shirish Tatikonda, Flavio Junqueira, Berkant Barla Cambazoglu, Vassilis Plachouras
2009 — conf
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework.
ICDM Workshops
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikonda
2008 B conf
An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures.
PPoPP
Shirish Tatikonda, Srinivasan Parthasarathy
2008 — ch.
Architecture Conscious Data Mining.
Next Generation of Data Mining
Srinivasan Parthasarathy, Shirish Tatikonda, Gregory Buehrer, Amol Ghoting
2007 A conf
Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms.
IPDPS
Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shirish Tatikonda, Xi Zhang, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz
2007 A* conf
LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying.
VLDB
Shirish Tatikonda, Srinivasan Parthasarathy, Matthew Goyder
2007 B conf
Toward terabyte pattern mining: an architecture-conscious solution.
PPoPP
Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda, Tahsin M. Kurç, Joel H. Saltz
2006 A conf
I/O conscious algorithm design and systems support for data analysis on emerging architectures.
IPDPS
Gregory Buehrer, Amol Ghoting, Xi Zhang, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz
2006 A conf
TRIPS and TIDES: new algorithms for tree mining.
CIKM
Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç
2005 A conf
A Services Oriented Framework for Next Generation Data Analysis Centers.
IPDPS
Huai Wang, Amol Ghoting, Gregory Buehrer, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz
2005 A conf
Design of a next generation sampling service for large scale data analysis applications.
ICS
Huai Wang, Srinivasan Parthasarathy, Amol Ghoting, Shirish Tatikonda, Gregory Buehrer, Tahsin M. Kurç, Joel H. Saltz