Slycat v 2.0

Software · Thu Apr 18 00:00:00 EDT 2019

DOI:https://doi.org/10.11578/dc.20171025.1419· OSTI ID:1507584 · Code ID:2454

Slycat™ is a web-based system for analysis of large, high-dimensional data such as that produced by High Performance Computing (HPC) platforms. The Slycat™ server integrates data ingestion, scalable analysis, data management, and visualization with commodity web clients using a multi-tiered hierarchy of data and model storage. Analysis inputs are pushed or pulled into Slycat™, where models are generated and analysis artifacts are stored in a project database. These artifacts are the basis for visualizations that are delivered to users’ desktops through ordinary web browsers, eliminating the need to build and deploy platform-specific client applications. Slycat™ currently provides four types of analysis: canonical correlation analysis (CCA) to model relationships between inputs and output metrics, time series analysis featuring clustering and comparative visualization of waveforms, parameter space visualization including remote retrieval of images and movies from HPC disks, and VideoSwarm for modeling video similarities over time.

• Project Type: Open Source, Publicly Available Repository
• Site Accession Number: SCR#1593.1
• Software Type: Scientific
• License(s): BSD 3-clause "New" or "Revised" License
• Programming Language(s): JavaScript; Python
• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE

  ---

  Primary Award/Contract Number:
  Other Award/Contract Number:

  NA0003525
• Code ID: 2454
• OSTI ID: 1507584
• Country of Origin: United States