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ORCIDShirish Tatikonda
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2010 – 2019
- 2017
[c22]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- 2016
- [j5]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): 1425-1436 (2016) - 2015
- [c21]Arash Ashari, Shirish Tatikonda, Matthias Boehm, Berthold Reinwald, Keith Campbell, John Keenleyside, P. Sadayappan
:
On optimizing machine learning workloads via kernel fusion. PPoPP 2015: 173-182 - [c20]Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss:
Resource Elasticity for Large-Scale Machine Learning. SIGMOD Conference 2015: 137-152 - 2014
- [j4]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): 52-62 (2014) - [j3]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): 553-564 (2014) - [c19]Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy:
One, Two, Hash! Counting Hash Tables for Flash Devices. CODS 2014: 1-10 - 2013
- [j2]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): 193-204 (2013) - [c18]Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy:
Hash in a flash: Hash tables for flash devices. IEEE BigData 2013: 7-14 - [c17]Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian:
Compiling machine learning algorithms with SystemML. SoCC 2013: 57:1 - 2012
- [c16]Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwald:
Scalable and Numerically Stable Descriptive Statistics in SystemML. ICDE 2012: 1351-1359 - [i1]Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy:
Hash in a Flash: Hash Tables for Solid State Devices. CoRR abs/1211.4521 (2012) - 2011
- [c15]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: 231-242 - [c14]Ye Wang, Srinivasan Parthasarathy, Shirish Tatikonda:
Locality Sensitive Outlier Detection: A ranking driven approach. ICDE 2011: 410-421 - [c13]Shirish Tatikonda, Berkant Barla Cambazoglu, Flavio Paiva Junqueira:
Posting list intersection on multicore architectures. SIGIR 2011: 963-972 - 2010
- [c12]Shirish Tatikonda, Srinivasan Parthasarathy:
Hashing tree-structured data: Methods and applications. ICDE 2010: 429-440 - [c11]Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda:
A distributed placement service for graph-structured and tree-structured data. PPoPP 2010: 355-356 - [p2]Srinivasan Parthasarathy, Shirish Tatikonda, Duygu Ucar:
A Survey of Graph Mining Techniques for Biological Datasets. Managing and Mining Graph Data 2010: 547-580
2000 – 2009
- 2009
- [j1]Shirish Tatikonda, Srinivasan Parthasarathy:
Mining Tree-Structured Data on Multicore Systems. Proc. VLDB Endow. 2(1): 694-705 (2009) - [c10]Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikonda:
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework. ICDM Workshops 2009: 314-319 - [c9]Shirish Tatikonda, Flavio Junqueira, Berkant Barla Cambazoglu, Vassilis Plachouras:
On efficient posting list intersection with multicore processors. SIGIR 2009: 738-739 - 2008
- [c8]Shirish Tatikonda, Srinivasan Parthasarathy:
An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures. PPoPP 2008: 263-264 - [p1]Srinivasan Parthasarathy, Shirish Tatikonda, Gregory Buehrer, Amol Ghoting:
Architecture Conscious Data Mining. Next Generation of Data Mining 2008 - 2007
- [c7]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: 1-6 - [c6]Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda, Tahsin M. Kurç, Joel H. Saltz:
Toward terabyte pattern mining: an architecture-conscious solution. PPoPP 2007: 2-12 - [c5]Shirish Tatikonda, Srinivasan Parthasarathy, Matthew Goyder:
LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying. VLDB 2007: 63-74 - 2006
- [c4]Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç:
TRIPS and TIDES: new algorithms for tree mining. CIKM 2006: 455-464 - [c3]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 - 2005
- [c2]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: 91-100 - [c1]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
Coauthor Index
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