Free openfoam free surface flow software for linux

Java + information flow (Jif in short) is a security-typed programming language that extends Java with support for information flow control and access control, both at compile time and at run time.

The source code for the Jif compiler and run-time system is now available for download. Jif is written in Java and is built using the Polyglot extensible Java compiler framework.

Static information flow control can protect the confidentiality and integrity of information manipulated by computing systems. The compiler tracks the correspondence between information the policies that restrict its use, enforcing security properties end-to-end within the system. After checking information flow within Jif programs, the Jif compiler translates them to Java programs and uses an ordinary Java compiler to produce secure executable programs.

Jif extends Java by adding labels that express restrictions on how information may be used. For example, the following variable declaration declares not only that the variable x is an int, but also that the information in x is governed by a security policy:

int {Alice→Bob} x;

In this case, the security policy says that the information in x is controlled by the principal Alice, and that Alice permits this information to be seen by the principal Bob. The policy {Alice←Bob} means that information is owned by Alice, and that Alice permits it to be affected by Bob. Based on label annotations like these, the Jif compiler analyzes information flows within programs, to determines whether they enforce the confidentiality and integrity of information.

Open Blue Lab is a modular ERP, built on a plugin architecture. Each business domain (such as Groupware, Financial, HCM, PLM, or SCM) is separated into subdomains which are implemented through plugins.
This architecture permits you to choose only the components that suit your needs. Each plugin is certified Zero Code, configurable through a GUI, and may be adapted through the UML models provided.
Enhancements:
- An "entries list" action has been added.
- Applied on a class object, it will display the incoming flow concerning that object.
- For example, applied on a supplier, it will display the list of incoming flows that were coming from this supplier.

CountYourEuro! project is a collaborative data collection project studying the distribution of EuroCoins.

The idea of CYE (count your Euros) is to collect data on EuroCoins all over Europe, to analyze the flow of Euros. CYE is a client through which you can enter coin data.

see all Euro coin pictures on your computer
and help the scientists who examine the spreading of coins in Europe

ParaView project is an application designed with the need to visualize large data sets in mind. The goals of the ParaView project include the following:
- Develop an open-source, multi-platform visualization application.
- Support distributed computation models to process large data sets.
- Create an open, flexible, and intuitive user interface.
- Develop an extensible architecture based on open standards.
ParaView runs on distributed and shared memory parallel as well as single processor systems and has been succesfully tested on Windows, Linux and various Unix workstations and clusters. Under the hood, ParaView uses the Visualization Toolkit as the data processing and rendering engine and has a user interface written using a unique blend of Tcl/Tk and C++. Please go here for a detailed list of features.
ParaView was created by Kitware in conjunction with Jim Ahrens of the Advanced Computing Laboratory at Los Alamos National Laboratory (LANL). Contributors and developers of ParaView currently include: Kitware, LANL, Sandia National Laboratories, and Army Research Laboratory. ParaView is funded by the US Department of Energy ASCI Views program as part of a three-year contract awarded to Kitware, Inc. by a consortium of three National Labs - Los Alamos, Sandia, and Livermore. The goal of the project is to develop scalable parallel processing tools with an emphasis on distributed memory implementations. The project includes parallel algorithms, infrastructure, I/O, support, and display devices. One significant feature of the contract is that all software developed is to be delivered open source. Hence ParaView is available as an open-source system.
Main features:
- Handles structured (uniform rectilinear, non-uniform rectilinear, and curvilinear grids), unstructured, polygonal and image data.
- All processing operations (filters) produce datasets. This allows the user to either further process or save as a data file the result of every operation. For example, the user can extract a cut surface, reduce the number of points on this surface by masking, and apply glyphs (for example, vector arrows) to the result.
- Contours and isosurfaces can be extracted from all data types using scalars or vector components. The results can be colored by any other variable or processed further. When possible, structured data contours/isosurfaces are extracted with fast and efficient algorithms which make use of the special data layout.
- Vectors fields can be inspected by applying glyphs (arrows, cones, lines, spheres, and various 2D glyphs) to the points in a dataset. The glyphs can be scaled by scalars, vector component or vector magnitude and can be oriented using a vector field.
- A sub-region of a dataset can be extracted by cutting or clipping with an arbitrary plane (all data types), specifying a threshold criteria to exclude cells (all data types) and/or specifying a VOI (volume of interest - structured data types only)
- Streamlines can be generated using constant step or adaptive integrators. The results can be displayed as points, lines, tubes, ribbons, etc., and can be processed by a multitude of filters.
- The points in a dataset can be warped (displaced) with scalars (given a user defined displacement vector) or with vectors (unavailable for non-linear rectilinear grids).
- With the array calculator, new variables can be computed using existing point or cell field arrays. A multitude of scalar and vector operations are supported.
- Data can be probed at a point or along a line. The results are displayed either graphically or as text and can be exported for further analysis.
- ParaView provides many other data sources and filters by default (edge extraction, surface extraction, reflection, decimation, extrusion, smoothing...) and any VTK filter can be added by providing a simple XML description (VTK provides hundreds of sources and filters, see VTK documentation for a complete list).
Enhancements:
- This release adds parallel uniform rectilinear grid volume rendering (vtkImageData).
- It introduces new algorithms for parallel unstructured grid volume rendering.
- Support for hardware accelerated offscreen rendering using OpenGL framebuffers.
- Improved multi-block support.
- Improved AMR support.
- Animation saving with ffmpeg.
- Filters have been added for FLUENT, OpenFOAM, MFIX, LSDyna, and AcuSolve.
- A gradient filter for unstructured data.
- Many other enhancements and bugfixes.

Channelflow is a direct numerical simulator for incompressible Navier-Stokes channel flow, written in C++.
Channelflow application simulates fluid flow in a rectangular box, with no-slip boundary conditions on the upper and lower surfaces of the box, and periodic boundary conditions in the stream and spanwise directions.
Channelflow uses a spectral discretization in spatial directions (Fourier x Chebyshev x Fourier) and finite-differencing in time, on primitive variables (3D velocity and pressure).
Main features:
Flexible object-oriented programming
- Channelflow is written as a C++ class library. The classes act as building blocks for expressing particular channel-flow simulations and associated data analysis, and underneath these, the mathematical structures needed to perform the calculations. Channelflow provides classes for representing Chebyshev expansions, Fourier x Chebyshev x Fourier expansions, DNS algorithms, and a number of differential equations. Each class has automatic memory management and a set of high-level elemental operations, so that auxiliary data fields and computations can be added to a program with a few lines of code.
- In channelflow, even the DNS algorithm is an object. This greatly increases the flexibility of DNS computations. For example, a DNS can be reparameterized and restarted multiple times within a single program, multiple independent DNS computations can run side-by-side within the same program, and DNS computations can run as small components within a larger, more complex computations. As a result, comparative calculations that formerly required coordination of several programs through shell scripts and saved data files can be done within single channelflow program.
Organized, readable library code
- Channelflow uses object-oriented programming and data abstraction to maximize the organization and readability of its library code. Channelflow defines about a dozen C++ classes that act as abstract data types for the major components of spectral channel-flow simulation (diagram of class libraries). Each class forms a level of abstraction in which a set of mathematical operations are performed in terms of lower-level abstractions, from time-stepping equations at the top to linear algebra at the bottom. The channelflow library code thus naturally reflects mathematical algorithm, both in overall structure and line-by-line. One can look at any part of the code and quickly understand what role it plays in the overall algorithm. One can learn the algorithm in stages, either top-down or bottom-up, by focusing on one level of abstraction at a time.
- Moderately general: Channelflow provides elemental algebraic and differential operators for its mathematical classes, so that most quantities of interest can be calculated with a few lines of code. However, Channelflow is not general regarding geometry: it works only with rectangular geometries with two periodic and one nonhomogeneous direction.
- Configurable: For example, channelflows DNS algorithms implement a variety of time-stepping schemes, external constraints, and methods of calculating nonlinear terms.
- Extendable: The library code is structured to take small-scale extensions such as additional time-stepping schemes. Channelflows object-oriented, modular structure allows channelflow simulations to be embedded as small components within larger, more complex computations.
- Verifiable: The source distribution contains a test suite that verifies the correct behavior of major classes.
- Documented: The Channelflow Users Manual contains annotated program examples, discussion of design, an overview of the main classes from a users perspective, and a review of the mathematical algorithm.
- Supported: Channelflow has a support website. with public CVS access, support-request and bug-tracking systems, etc.
- Fast: Channelflow is as fast as comparable Fortran codes

eXtensible Server Side Markup Language is based on XML and Struts technologies, and allows for an easy and streamlined creation of various technical and business rules with further implementation as Web services and interfaces.

It features the ability to define XML structures and ties such to actual Java code, conditional and flow processing logic, variable definition by value and reference, and logging both at class and custom component level.

Mech-Tex 1000 is a desktop applets for SuperKaramba that displays cpu usage, internet flow in and out information and allows you to quickly mount and unmount devices , etc.