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High Performance Data Analytics (HPDA)

PNNL’s Multifaceted Program to Accelerate Big Data Analytics using High Performance Computing

Introduced in 2013, HPDA, led by Pacific Northwest National Laboratory, has been exploring, evaluating, and demonstrating the application of high-performance computing technologies to data analytics challenges.

Specific Focus Areas include:

  • Graph Analytics: Graph modeling, visualization, and evaluation for understanding large, complex networks
  • Compute Intensive Analytics: Novel and innovative techniques to solve computationally intensive problems
  • Streaming Analytics: New algorithms and approaches to rapidly analyze high-bandwidth, high-throughput streaming data
  • Exploratory Data Analysis: Mechanisms to explore and analyze massive streaming data sources to gain new insights and inform decisions
  • Emerging Architectures Analysis and Distributed Heterogeneous Testbed: Evaluation, characterization, and modeling of next-generation analytics

Mark Raugas (206) 528-3114

High Performance Data Analytics (HPDA)


Seminar Series

Computing Research at PNNL

Science at PNNL

Computing Research

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