Strategies for Choosing Analytics and Visualization Software and Hardware at NERSC
Data analysis (or analytics) and visualization are two steps in data understanding, often interleaved and symbiotic, so that many of the available tools characterized as one category, end-up having some functionalities of the other. Bellow find links to software tools grouped under Analytics or Visualization, but have in mind that their functions may be interchangeable.
Visualization | Analytics | ||
---|---|---|---|
Visit | Matlab | Python tools: Numpy, Scipy, iPython, matplotlib | |
Paraview | Mathematica | Perl | |
IDL | Python | TCL/TK | |
AVS/Express | R | SQL |
Choosing the Right System
- Small datasets:
- interactive: Euclid
- batch: Carver's 1 TB memory node
- Large datasets:
Choosing the Right Software Tools