Conference/Workshops

• HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency

• Anomaly Detection over Streaming Data: Indy500 case study

• Performance Characterization of Multi-threaded Graph Processing Applications on Many-Integrated-Core Architecture

Journals

• Finding and counting tree-like subgraphs using MapReduce

• Scalable Parallel Computing on Clouds Using Twister4Azure Iterative MapReduce

• Interpolative multidimensional scaling techniques for the identification of clusters in very large sequence sets​

Media Coverage

• Harp-DAAL Raises Hadoop Platform to Knights Landing Height, an article on The Next Platform.

• Twister4Azure is first project listed in Cloud Research Projects of Microsoft Research

• Twister is listed in Microsoft’s Research Project Daytona

Invited Talks

• Real-Time Anomaly Detection from Edge to HPC-Cloud, Big Data and Extreme-Scale Computing 2 Workshop (BDEC2)

• High-Performance AI: A View from Systems and Frameworks

• High-Performance Big Data Computing with Harp-DAAL

Books

• High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication

• Parallelizing Big Data Machine Learning 

• Scalable Query and Analysis for Social Networks: An Integrated High-Level Dataflow System with Pig and Harp

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Other Publications

• Harp-DAAL for High Performance Big Data Computing, Intel Magazine

• Editorial for Special Issue for Emerging Computational Methods for the Life Sciences Workshop 2012

• Generalizing MapReduce as a Unified Cloud and HPC Runtime

Subgraph2Vec: Highly-vectorized tree-like subgraph counting

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IEEE Big Data 2019

HarpLDA+: Optimizing Latent Dirichlet Allocation for Parallel Efficiency

IEEE Big Data 2017

 HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency

IEEE Cluster 2019

Parallel Clustering of High-Dimensional Social Media Data Streams

IEEE CCGrid 2015

Anomaly detection over streaming data: Indy500 case study

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IEEE Cloud 2019

Harp: Collective Communication on Hadoop

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IEEE IC2E 2015