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| Download the 2006 Report on "Development of Custom Parallel Applications" from Simon Management Group
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Download the recent study of the current state of custom application development in high performance technical computing. Based on hundreds of surveys and interviews, the report examines the software tools currently used among several industries, probes current application development environments, practices, and limitations, and catalogs critical issues and bottlenecks.
- Debugging, limits of the HPC software, and code writing, programming efficiency, and translation are the most frequently cited bottlenecks across all industries.
- MATLAB®, Python, Mathematica, C and Fortran were the most commonly mentioned prototyping tools. On average, respondents use three different types of application prototyping tools.
- A significant amount of time is spent connecting to, and integrating with, existing parallel libraries. In addition to time spent prototyping, respondents are also seeking ways to decrease the actual development phase.
- Data sets are expected to grow rapidly. The expected median data set within three years ranges from 200 GB to 600 GB, with the most dramatic estimate of growth in commercial enterprises.
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