Ramakrishnan Kannan

According to our database1, Ramakrishnan Kannan authored at least 57 papers between 2007 and 2022.

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Bibliography

2022
Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
PLANC: Parallel Low-rank Approximation with Nonnegativity Constraints.
ACM Trans. Math. Softw., 2021

ORCA: Outlier detection and Robust Clustering for Attributed graphs.
J. Glob. Optim., 2021

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).
Int. J. High Perform. Comput. Appl., 2021

Randomized Algorithms for Scientific Computing (RASC).
CoRR, 2021


Fragile Earth: Accelerating Progress towards Equitable Sustainability.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Co-design of Advanced Architectures for Graph Analytics using Machine Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Design Space Exploration of Emerging Memory Technologies for Machine Learning Applications.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters.
Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Science-Guided Machine Learning for Wall-Modeled Large Eddy Simulation.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Efficient Parallel Sparse Symmetric Tucker Decomposition for High-Order Tensors.
Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms, 2021

2020
Distributed Bayesian optimization of deep reinforcement learning algorithms.
J. Parallel Distributed Comput., 2020

Scalable knowledge graph analytics at 136 petaflop/s.
Proceedings of the International Conference for High Performance Computing, 2020

Distributed-memory parallel symmetric nonnegative matrix factorization.
Proceedings of the International Conference for High Performance Computing, 2020

A supernodal all-pairs shortest path algorithm.
Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

Tensorized Feature Spaces for Feature Explosion.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization.
Proceedings of the 27th IEEE International Conference on High Performance Computing, 2020

Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
INDEX-db: The Indian Exome Reference Database (Phase I).
J. Comput. Biol., 2019

PLANC: Parallel Low Rank Approximation with Non-negativity Constraints.
CoRR, 2019

Multifrontal Non-negative Matrix Factorization.
Proceedings of the Parallel Processing and Applied Mathematics, 2019

A communication-avoiding 3D sparse triangular solver.
Proceedings of the ACM International Conference on Supercomputing, 2019

A Scalable Graph Analytics Framework for Programming with Big Data in R (pbdR).
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Learning to Predict Material Structure from Neutron Scattering Data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization.
IEEE Trans. Knowl. Data Eng., 2018

VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data.
ACM Trans. Knowl. Discov. Data, 2018

HyperSpace: Distributed Bayesian Hyperparameter Optimization.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Partitioning and Communication Strategies for Sparse Non-negative Matrix Factorization.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Parallel Nonnegative CP Decomposition of Dense Tensors.
Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018

A Heterogeneity-Aware Task Scheduler for Spark.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
CBIR System Based On Prediction Errors.
J. Inf. Sci. Eng., 2017

Lossy image compression based on prediction error and vector quantisation.
EURASIP J. Image Video Process., 2017

Outlier Detection for Text Data : An Extended Version.
CoRR, 2017

Outlier Detection for Text Data.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Scaling up data-parallel analytics platforms: Linear algebraic operation cases.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
FatMan vs. LittleBoy: Scaling Up Linear Algebraic Operations in Scale-Out Data Platforms.
Proceedings of the 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems, 2016

A high-performance parallel algorithm for nonnegative matrix factorization.
Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016

Mini-apps for high performance data analysis.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Kernels for scalable data analysis in science: Towards an architecture-portable future.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Behavioral clusters in dynamic graphs.
Parallel Comput., 2015

2014
Bounded matrix factorization for recommender system.
Knowl. Inf. Syst., 2014

VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

A Dynamic Data Driven Application System for Vehicle Tracking.
Proceedings of the International Conference on Computational Science, 2014

2012
Bounded Matrix Low Rank Approximation.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Fast Rule Mining Over Multi-Dimensional Windows.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2009
Nash Bargaining Based Ad Networks for Sponsored Search Auctions.
Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, 2009

CRM Analytics Framework.
Proceedings of the 15th International Conference on Management of Data, 2009

2008
A Nash bargaining approach to retention enhancing bid optimization in sponsored search auctions with discrete bids.
Proceedings of the 2008 IEEE International Conference on Automation Science and Engineering, 2008

2007
Lossless Compression Schemes for ECG Signals Using Neural Network Predictors.
EURASIP J. Adv. Signal Process., 2007

Incentive Compatible Mechanisms for Group Ticket Allocation in Software Maintenance Services.
Proceedings of the 14th Asia-Pacific Software Engineering Conference (APSEC 2007), 2007


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