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The HPC Analytics Challenge is an open participation competition for the SC|05 conference. Competitors are welcome from the academic, research, government, and commercial communities. We especially encourage student and class submissions.

The primary goal of the contest is to provide a forum for researchers, engineers, and analysts to showcase computationally intensive applications that solve real-world, complex problems through the use of rigorous and sophisticated methods of data analysis and high end visualization in conjunction with the use of high performance computing, networking, and storage. Complementary to this primary goal, the HPC Analytics Challenge seeks to promote the development of HPC benchmarks for analytics techniques and establish a forum to advance HPC evaluation methods.

The HPC Analytics Challenge encourages innovative and sophisticated analysis and visualization techniques in a meaningful application that supports the discovery of knowledge. The discovery of knowledge can be exemplified in a number of ways such as the identification of noteworthy findings in major research projects, real insight into key relationships between data in multivariate datasets, detection of distinct data characteristics, clear understanding of trends over time, the ability to model real-time scenarios with accuracy, dependable and meaningful forecasts, and more…

Some of the key features important for applications to address in the HPC Analytics Challenge include:

  • Innovative and sophisticated analysis and visualization techniques
  • Performance and scalability (with large, complex data)
  • Portability and distribute-ability
  • Flexibility and deploy-ability
  • Knowledge & discovery.
Additionally, the applications will be judged on the strength of the solution meeting the combination of various specific criteria such as:
  • Utilizing various HPC technologies
    • Analysis: Data mining, forecasting and optimization techniques, etc.
    • Visualization: Interactivity of the application such as drill-down, real-time rendering and sophisticated visualization capabilities, etc.
    • High Performance Computing
    • Newer technologies such as web services, clusters, grids
    • High Performance Storage
    • High Speed Networking
  • Implementing unique investigation and methods for data analysis
  • Handling massive amounts of data
  • Providing for collaboration, sharing, and ease of use of the application
  • Achieving scalability and portability
  • Providing significant and meaningful results from the use of the application
Applications for consideration ideally would focus on solving real-world, complex problems in a number of sectors. Some areas of:
  • R&D/National Labs/ Homeland Defense, DOD, DOE (security, disaster planning)
  • Oil and Gas (oil drilling optimization)
  • Large Scale Science (astrophysics, High Energy physics, etc.)
  • Finance (risk management, portfolio optimization)
  • Corporate management (business analytics)
  • Life Sciences or Healthcare (clinical trials, pharma, bio-medical research)
  • Environment (predicting weather, forecasting, remediation)
  • Web search engine enhancements
  • SPAM and Intrusion detection or mal-ware detection