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

Books

• Jan 2019  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

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

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

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