Powua is a parallel super-computer consisting of many processors that work simultaneously. The Powua client lets users access this high computing power from wherever they are, directly on their computer, through a simple Internet connection. If your preferred software is supported, you can start using it immediately in Powua and speed up all those processes that would otherwise occupy your processor for a long time. Powua subdivides your operation and distributes it to many processors simultaneously.
The chemical-mime-data package is a collection of data files to add support for various chemical MIME types on Linux/Unix desktops, such as KDE and GNOME. Chemical MIME types were proposed in 1995, though it seems they have never been registered with IANA. But they are widely used, and the project's aim is to support these important but unofficial MIME types. Initial data was taken from "The Chemical MIME Home Page" of Henry Rzepa.
QuteMol is an interactive, high-quality molecular visualization system. QuteMol exploits the capabilites of current GPUs through OpenGL shaders to offer an array of innovative visual effects. QuteMol visualization techniques are aimed at improving clarity and an easier understanding of the 3D shape and structure of large molecules or complex proteins.
BALLView is an extensible viewer for bio-molecular structures. It provides all standard models and offers rich functionality for molecular modeling and simulation, including molecular mechanics methods (AMBER, CHARMM, and MMFF94 force fields), continuum electrostatics methods employing a Finite-Difference Poisson Boltzmann solver, secondary structure calculation, molecular editing and docking. Since BALLView is based on BALL (the Biochemical ALgorithms Library), it is easily extensible on the level of C++ code. In addition, it provides a Python interface with Integrated Development Environment features to allow interactive rapid prototyping.
Brook for GPUs is a compiler and runtime implementation of the Brook stream programming language for modern graphics hardware. The goals for this project are to demonstrate general purpose programing on GPUs, to provide a useful tool for developers who want to run applications on GPUs, and to research the stream language programming model, streaming applications, and system implementations.