GetData is a library that provides an API to interface with dirfile databases. The dirfile database format is designed to provide a fast, scalable format for storing and reading binary, synchronously-sampled, time-ordered data. GetData was originally written for the BOOMERanG and BLAST experiments as a data format suitable for use for both quick-look and data reduction. It is now used by many other cosmological and astrophysical experiments including ACT, Planck, Spider, Keck, as well as other projects.
The CFD General Notation System (CGNS) provides a general, portable, and extensible standard for the storage and retrieval of computational fluid dynamics (CFD) analysis data. CGNS is designed to facilitate the exchange of data between sites and applications, and to help stabilize the archiving of aerodynamic data.
MPI Parallel Environment (MPE) is a software package for MPI (Message Passing Interface) programmers. It provides users with a number of useful tools for their MPI programs such as a set of profiling libraries that collect information about the behavior of MPI programs, graphical trace file analyzers, serializers, type checkers, collective operations validators, etc.
PARAMESH is a package of Fortran 90 subroutines designed to provide an application developer with an easy route to extend an existing serial code that uses a logically Cartesian structured mesh into a parallel code with adaptive mesh refinement (AMR). Alternatively, in its simplest use, and with minimal effort, it can operate as a domain decomposition tool for users who want to parallelize their serial codes, but who do not wish to use adaptivity.
PHAML is a parallel program for the solution of 2D elliptic partial differential equations using low or high order finite elements, adaptive mesh refinement based on newest node bisection of triangles, and multigrid. All aspects of the method are based on the hierarchical basis functions.
ffnet is a fast and easy-to-use feed-forward neural network training solution for Python. You can use it to train, test, save, load, and use an artificial neural network with sigmoid activation functions. Any network connectivity without cycles is allowed (not only layered). Training can be performed with several optimization schemes, including genetic alorithm based optimization. There is access to exact partial derivatives of network outputs versus its inputs. Normalization of data is handled automatically by ffnet.
Open Watcom consists of the famous Watcom C++ and WATFOR compilers -- now open source. Open Watcom is mainly used for developing embedded, DOS, and ncurses software. Open Watcom includes the C/C++/Fortran IDE from Watcom for DOS and a full set of command-line tools for compilation, including the superb Watcom debugger. Open Watcom emits easy-to-understand errors and warnings when things go wrong. Open Watcom generates small statically linked binaries for Linux, Win32, Win16, OS/2, QNX, NetWare, and MS-DOS real and protected mode, among other targets. However, Open Watcom is still only beta-quality on Linux and BSD. The two most serious issues are imperfect C++ template support and an inability to dynamically link with shared libraries built by GCC. Also, Open Watcom is released under the Sybase Open Watcom Public License, which is considered non-free by most Debian Linux developers. NOTE: Open Watcom binaries for Linux are not available anywhere. You must build it yourself. 1.5 has known build issues on Linux; use version 1.4 or the current daily build instead.