Documentation overview
Contains some frequently asked questions about Quasar
Describes the Quasar programming language, introduces high-level parallel and serial programming concepts and best practices
Lists Quasar functions per topic/application
Information on issue-related material (e.g., related to CUDA-specific topics)
Gives an overview of how to optimize code written in Quasar.
Gives an overview of the Quasar graphics library
Describes the Quasar external interfaces (two-way interoperability with C#, F#, C/C++, CUDA)
Gives information on how to use specific CUDA features from Quasar
Algorithmic Differentiation (new)
Quasar supports algorithmic differentiation (a.k.a. automatic differentiation), a technique to differentiate functions using source-to-source transformations
Provides some numerical results (computational performance, development speed) for programs written in Quasar
An extensive number of code tutorials on Quasar
Report bugs, ask questions not being answered in the documentation