Design of a next generation sampling service for large scale data analysis applications. - Huai Wang; Srinivasan Parthasarathy 001; Amol Ghoting; Shirish Tatikonda; Gregory Buehrer; Tahsin M. Kurç; Joel H. Saltz (ICS, 2005)

A Services Oriented Framework for Next Generation Data Analysis Centers. - Huai Wang; Amol Ghoting; Gregory Buehrer; Shirish Tatikonda; Srinivasan Parthasarathy 001; Tahsin M. Kurç; Joel H. Saltz (IPDPS, 2005)

TRIPS and TIDES: new algorithms for tree mining. - Shirish Tatikonda; Srinivasan Parthasarathy 001; Tahsin M. Kurç (CIKM, 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 001; Tahsin M. Kurç; Joel H. Saltz (IPDPS, 2006)

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 001; Tahsin M. Kurç; Joel H. Saltz (IPDPS, 2007)

Toward terabyte pattern mining: an architecture-conscious solution. - Gregory Buehrer; Srinivasan Parthasarathy 001; Shirish Tatikonda; Tahsin M. Kurç; Joel H. Saltz (PPoPP, 2007)

LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying. - Shirish Tatikonda; Srinivasan Parthasarathy 001; Matthew Goyder (VLDB, 2007)

Architecture Conscious Data Mining. - Srinivasan Parthasarathy 001; Shirish Tatikonda; Gregory Buehrer; Amol Ghoting (Next Generation of Data Mining, 2008)

An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures. - Shirish Tatikonda; Srinivasan Parthasarathy 001 (PPoPP, 2008)

Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework. - Ramesh Natarajan; Vikas Sindhwani; Shirish Tatikonda (ICDM Workshops, 2009)

On efficient posting list intersection with multicore processors. - Shirish Tatikonda; Flavio Junqueira; Berkant Barla Cambazoglu; Vassilis Plachouras (SIGIR, 2009)

Mining Tree-Structured Data on Multicore Systems. - Shirish Tatikonda; Srinivasan Parthasarathy 001 (Proc. VLDB Endow., 2009)

Hashing tree-structured data: Methods and applications. - Shirish Tatikonda; Srinivasan Parthasarathy 001 (ICDE, 2010)

A distributed placement service for graph-structured and tree-structured data. - Gregory Buehrer; Srinivasan Parthasarathy 001; Shirish Tatikonda (PPoPP, 2010)

A Survey of Graph Mining Techniques for Biological Datasets. - Srinivasan Parthasarathy 001; Shirish Tatikonda; Duygu Ucar (Managing and Mining Graph Data, 2010)

SystemML: Declarative machine learning on MapReduce. - Amol Ghoting; Rajasekar Krishnamurthy; Edwin P. D. Pednault; Berthold Reinwald; Vikas Sindhwani; Shirish Tatikonda; Yuanyuan Tian 001; Shivakumar Vaithyanathan (ICDE, 2011)

Locality Sensitive Outlier Detection: A ranking driven approach. - Ye Wang; Srinivasan Parthasarathy 001; Shirish Tatikonda (ICDE, 2011)

Posting list intersection on multicore architectures. - Shirish Tatikonda; Berkant Barla Cambazoglu; Flavio Paiva Junqueira (SIGIR, 2011)

Scalable and Numerically Stable Descriptive Statistics in SystemML. - Yuanyuan Tian 001; Shirish Tatikonda; Berthold Reinwald (ICDE, 2012)

Hash in a Flash: Hash Tables for Solid State Devices - Tyler Clemons; S. M. Faisal; Shirish Tatikonda; Charu C. Aggarwal; Srinivasan Parthasarathy 001 (CoRR, 2012)

Hash in a flash: Hash tables for flash devices. - Tyler Clemons; S. M. Faisal; Shirish Tatikonda; Charu C. Aggarwal; Srinivasan Parthasarathy 001 (IEEE BigData, 2013)

Compiling machine learning algorithms with SystemML. - Matthias Boehm 001; Douglas Burdick; Alexandre V. Evfimievski; Berthold Reinwald; Prithviraj Sen; Shirish Tatikonda; Yuanyuan Tian 001 (SoCC, 2013)

From "Think Like a Vertex" to "Think Like a Graph". - Yuanyuan Tian 001; Andrey Balmin; Severin Andreas Corsten; Shirish Tatikonda; John McPherson (Proc. VLDB Endow., 2013)

One, Two, Hash! Counting Hash Tables for Flash Devices. - Tyler Clemons; S. M. Faisal; Shirish Tatikonda; Charu C. Aggarwal; Srinivasan Parthasarathy 001 (CODS, 2014)

SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. - Matthias Böhm 001; Douglas R. Burdick; Alexandre V. Evfimievski; Berthold Reinwald; Frederick R. Reiss; Prithviraj Sen; Shirish Tatikonda; Yuanyuan Tian 001 (IEEE Data Eng. Bull., 2014)

Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML. - Matthias Boehm 001; Shirish Tatikonda; Berthold Reinwald; Prithviraj Sen; Yuanyuan Tian 001; Douglas Burdick; Shivakumar Vaithyanathan (Proc. VLDB Endow., 2014)

On optimizing machine learning workloads via kernel fusion. - Arash Ashari; Shirish Tatikonda; Matthias Boehm 001; Berthold Reinwald; Keith Campbell; John Keenleyside; P. Sadayappan (PPoPP, 2015)

Resource Elasticity for Large-Scale Machine Learning. - Botong Huang; Matthias Boehm 001; Yuanyuan Tian 001; Berthold Reinwald; Shirish Tatikonda; Frederick R. Reiss (SIGMOD Conference, 2015)

SystemML: Declarative Machine Learning on Spark. - Matthias Boehm 001; Michael Dusenberry; Deron Eriksson; Alexandre V. Evfimievski; Faraz Makari Manshadi; Niketan Pansare; Berthold Reinwald; Frederick Reiss 001; Prithviraj Sen; Arvind Surve; Shirish Tatikonda (Proc. VLDB Endow., 2016)

SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning. - Tarek Elgamal; Shangyu Luo; Matthias Boehm 001; Alexandre V. Evfimievski; Shirish Tatikonda; Berthold Reinwald; Prithviraj Sen (CIDR, 2017)