Shirish Tatikonda

According to our database1, Shirish Tatikonda authored at least 29 papers between 2005 and 2017.

Collaborative distances :
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2017
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning.
Proceedings of the CIDR 2017, 2017

2016
SystemML: Declarative Machine Learning on Spark.
PVLDB, 2016

2015
Resource Elasticity for Large-Scale Machine Learning.
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.
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.
PVLDB, 2014

SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.
IEEE Data Eng. Bull., 2014

One, Two, Hash! Counting Hash Tables for Flash Devices.
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".
PVLDB, 2013

Compiling machine learning algorithms with SystemML.
Proceedings of the ACM Symposium on Cloud Computing, SOCC '13, 2013

Hash in a flash: Hash tables for flash devices.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

2012
Hash in a Flash: Hash Tables for Solid State Devices
CoRR, 2012

Scalable and Numerically Stable Descriptive Statistics in SystemML.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
Posting list intersection on multicore architectures.
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.
Proceedings of the 27th International Conference on Data Engineering, 2011

SystemML: Declarative machine learning on MapReduce.
Proceedings of the 27th International Conference on Data Engineering, 2011

2010
A Survey of Graph Mining Techniques for Biological Datasets.
Proceedings of the Managing and Mining Graph Data, 2010

A distributed placement service for graph-structured and tree-structured data.
Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2010

Hashing tree-structured data: Methods and applications.
Proceedings of the 26th International Conference on Data Engineering, 2010

2009
Mining Tree-Structured Data on Multicore Systems.
PVLDB, 2009

On efficient posting list intersection with multicore processors.
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.
Proceedings of the ICDM Workshops 2009, 2009

2008
An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures.
Proceedings of the 13th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2008

2007
LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Toward terabyte pattern mining: an architecture-conscious solution.
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.
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.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

TRIPS and TIDES: new algorithms for tree mining.
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.
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.
Proceedings of the 19th Annual International Conference on Supercomputing, 2005


  Loading...