The Platonos Projects are a group of sub projects aimed to provide Java developers with a stand-alone plugin engine as well as a pluggable Swing application framework similar to other RCP (Rich Client Platforms) available. The goal is to have an out-of-the-box runnable Swing application with the more common pieces applications contain, such as preferences, help, file I/O choosers, configuration, and more all via plugins which can be left out if not needed. Building upon the shell is very easy by simply adding plugins that provide extended behavior for existing plugins, or adding new plugins that will then be extended by other plugins.
Libdnsres provides a non-blocking, thread-safe API for resolving DNS names. It requires that your main application is built on top of libevent. The API essentially mirrors the traditional gethostbyname and getaddrinfo interfaces. All return values have been replaced by callbacks instead. The code borrows heavily from the BSD resolver library. In fact, it is an extremely ugly hack to make the BSD resolver library non-blocking and thread-safe without changing the API too much. Although it has not been tested heavily, it should compile on BSD systems and Linux. The library comes with a simple test program that can be use to verify if it works correctly.
Caudex is a distributed document/reference management system. Its features include support for BibTeX reference types, reference organization in hierarchical categories, BibTeX export, multiple attachments (eg PDF files) for each reference and a servlet-based Web interface with full-text search on the PDF attachments. It is optimized for offline work, and local reference collections can be synced with servers at any time. Multiple local storages are supported and can optionally be synced against different servers.
Unified Parallel C (UPC) is an extension of the C programming language designed for high performance computing on large-scale parallel machines. The language provides a uniform programming model for both shared and distributed memory hardware. The programmer is presented with a single shared, partitioned address space, where variables may be directly read and written by any processor, but each variable is physically associated with a single processor. UPC uses a Single Program Multiple Data (SPMD) model of computation in which the amount of parallelism is fixed at program startup time, typically with a single thread of execution per processor. Berkeley UPC provides a portable, high-performance compiler for developing UPC software on systems ranging from clusters to custom supercomputers and even laptop-grade systems.