Free simulated software for linux

Free Simulated Radar Client project is a framework for radar clients for virtual air traffic control networks.

Free Simulated Radar Client is a framework for radar clients for virtual air traffic control networks (e.g., VATSIM and IVAO). Currently work is occuring on a radar client (an ASRC clone), a flight strip display, and a 3D tower view.

The framework analyses the data provided by servers of these networks and provides interfaces for radar clients (or other applications) to access this data.

Particle Simulation project is a simulation of spraying up to 60k particles in realtime.
Particle Simulation is a playful simulation game which allows you to spray particles into the "air". The number of simulated particles is only limited by the speed of your computer.
The particles dont interact with each other, but will bounce back from the ground and accelerate depending on a gravity constant.
This constant can be changed (along with a number of other parameters) in the source code or via commandline parameters.
Enhancements:
- Colors were adjusted and a new animation mode was introduced.
- Segmentation fault was fixed.

The P-UMLaut tool allows the user to transform UML 2.0 Sequence Diagrams to semantically equivalent Petri Nets.
These Petri Nets may then be simulated using the supplied PN simulator (of PEP descent) or operated on with any tool that can work with high level Petri Nets.
By plugging different Realms into the simulation by way of an event filter, the modeled world may then be displayed and interacted with in various fashions. A 3D animation module is supplied as well as two examples utilizing the complete toolchain.
Enhancements:
- A new Petrinet Simulator was implemented in Java which features Highlevel-PN to Lowlevel-PN unfolding and Timed-PN simulation.
- Filtering was enhanced. Irrlicht 0.12 is used.

Sub::Timebound is a Perl extension for timebound computations.

SYNOPSIS

use Sub::Timebound;

sub fun
{
my $i = shift;
if ($i =~ /7$/) {
die "Simulated internal errorn";
}
while ($i) {
$i--;
}
return "All is well";
}

my $x = timeboundretry(10, 3, 5, &fun, 10);
### Returns { value => ..., status => 0(FAILURE)/1(SUCCESS) }
### value is the return value of fun()

if ($x->{status}) {
# SUCCESS
$x->{value}
} else {
# FAILURE
}

Module exports "timeboundretry" - this is a wrapper that watches a function call.

my $x = timeboundretry([TimeAllocated], [NumberOfAttempts],
[PauseBetweenAttempts],[CodeRef],[Param1], [Param2], ...);


[TimeAllocated] - Seconds allocated to [CodeRef] to complete
[NumberOfAttempts] - Number of attempts made to [CodeRef]
[PauseBetweenAttempts] - Seconds to wait before making subsequent attempts
[CodeRef] - Reference to subroutine
[Param1]... - Parameters to subroutine

XSkat project is a Skat card game, playable against humans or the computer.
XSkat lets you play the card game Skat as defined by the official international Skat Order. Up to 3 players may be simulated by the computer. You can play via an X display connection or via IRC.
Main features:
- Single- and multiplayer mode.
- Playing over LAN or IRC.
- Game lists and logs.
- Three types of scoring.
- English or German text.
- German or French suited cards.
- Selectable computer playing strength.
- Pre-definable card distributions.
- Variations: Ramsch, Bock, Kontra & Re, ...
Enhancements:
- Computer plays less predictable
- Passes the game a lot less often
- Can play the final winning trick
- Selectable playing strength
- Deals a Good Hand with -pk or F6,F6,F6
- LAN game can be started interactively
- Player/computer names changeable
- More card images
- Replay and Hand? forms improved
- Man page accessible from inside the game

The RoboCup Soccer Simulator project is a platform for evaluating AI agents.
The RoboCup Soccer Simulator is a platform for evaluating multiple autonomous intelligent agents in a realworld-like domain.
The simulator allows two teams of 11 players and one coach to interact in a simulated game of soccer.
The team members connect to the simulator using UDP sockets and must perform complex behaviors using only a few basic commands, primarily dash, kick, turn, and catch, based on noisy and infrequent sensor information provided by the simulator.
This simulator is used in the simulation league of the RoboCup competition.
Enhancements:
- Just updated a minor version number. Official relasese for the RoboCup2007.

GNU Archimedes is the GNU package for the design and simulation of submicron semiconductor devices. Archimedes is a 2D Fast Monte Carlo simulator which can take into account all the relevant quantum effects, thank to the implementation of the Bohm effective potential method.

The physics and geometry of a general device is introduced by typing a simple script, which makes, in this sense, GNU Archimedes a powerfull tool for the simulation of quite general semiconductor devices.

In the present release, GNU Archimedes is able to simulate electrons and heavy holes in Silicon and GaAs (Gamma and L-valleys) devices (holes are simulated by means of a simplified MEP model), and in the next release, which is in preparation, it will be able to make simulations in 1D, 2D and 3D (this release will be delivered as soon as possible).

The Scientifical and Industrial Motivations
In today semiconductor technology, the miniaturization of devices is more and more progressing. In this context, it is easy to see that numerical simulations play an important role at every level of device manufacture. In fact, the cost of designing and physically constructing prototypes for VLSI semiconductor devices is very high and without the availability of advanced simulators the efforts for devices miniaturization would, likely, be brought to a halt. From assessing the performance of individual transistors, to circuits and systems, and, consequently, with the promise of improved device performance, industries are encouraged to keep on miniaturizing with lower manufacture costs.

But, unfortunately, such simulations are not whithout their challenges... A first consequence of device miniaturization is that simulations of submicron semicondutor devices requires advanced transport models. Because of the presence of very high and rapidly varying electric field, phenomena occur which cannot be described by means of the well-known drift-diffusion models, which do not incorporate energy as a dynamical variable.

That is why some generalization has been sought in order to obtain more physically accurate models, like energy-transport and hydrodynamical models. The energy-transport models which are implemented in commercial simulators are based on phenomenological constitutive equations for the particle flux and energy flux depending on a set of parameters which are fitted to homogeneous bulk material Monte Carlo simulations. So, this is not, certainly, a satisfactory physical description of the internal electronic dynamics in a semiconductor device.

As current device technologies quickly approach the scales whereby quantum effects due to strong confinement of carriers and direct source-drain tunneling will begin to dominate, new simulation techniques are required in order to fully understand and acurately simulate the physics behind the technology operation.

Of all the simulation methods currently employed, ensemble Monte Carlo has always been, both in the accademic and industrial community, the most vigorous and trusted method for device simulation, as it is proven to be reliable and predictive, as one can easily see from the vast bibliography on this subject.

However, as Monte Carlo relies on the particle nature of the electron (in fact we consider an electron like a biliard ball), quantum effects associated with the wave-like nature of electrons cannot fully incorporated into the actual simulators, i.e. the ensemble Monte Carlo have to be lightly (or strongly, it depends on the point of view and on the methods implemented...) modified to take into account the quantum effects, at least at a first order of approximation, which is certainly enough to take into account correctly all the relevant quantum effects present in the present-day semiconductor devices (till 2015 probably...). In order to take into account the wave-like nature of electrons we use a recently introduced quantum theory, the so-called Bohm effective potential theory.

So it is challenging and very interesting to develop such a code for 2D quantum submicron semiconductor devices. This is why I have decided to implement this code, but these are not the only motivations...

The Ethical Motivations
The very sad situation you quickly observe working in a semiconductor industry, but also in all places in which researches about semiconductor devices are made, the only codes for simulation you can find are not free and are proprietary codes.

That is a very bad situation because, at the present time, if you need to develop your own code for the purpose of simulating a device it is IMPOSSIBLE to obtain an advanced one in a short time, and, trust me, this is EXTREMELY BAD for scientific research... (Immagine if you had to re-discover the Newtonian laws every time you need them...) So, you can find a huge amount of papers describing a lot of numerical methods for simulating, in a very advanced way, semiconductor devices (even in the quantum case), but nobody will give you a code on which you can construct your own method (with the unlikely exception that at least one of the programmers is a friend of yours :) ).

Even worst, if you are a semiconductor device designer and you want to simulate "realistically" a new device, you have to pay (trust me, at very high costs!) a BINARY (just a binary and not the code!) from some well-known software industry. This binary will certainly have some bugs (because it is coded by humans which are not perfect...) and you will never have the possibility of fix them on your own. Of course, you can write to the software house and tell them that there is a bug, but, how many time do you will wait for a new release without those bugs? I dont think it will be a short time...

My impression is that, after a long research on the Web for a Free Software dealing with advanced 2D semiconductor device simulation, there was not a free code for the purpose of semiconductor devices simulation (i mean under GPL license). To be sure about it, I asked to the great Richard Stallman (by mail) if it will be worth to do a code like this and he encouraged me to code it, because there wasnt a code like this as free. So I decided to write this code..

SIEGE is an http regression testing and benchmarking utility. It was designed to let web developers measure the performance of their code under duress, to see how it will stand up to load on the internet.
Siege project lets the user hit a webserver with a configurable number of concurrent simulated users. Those users place the webserver "under siege."
The duration of the siege is measured in transactions, the sum of simulated users and the number of times each simulated user repeats the process of hitting the server.
Thus 20 concurrent users 50 times is 1000 transactions, the length of the test.
Enhancements:
- This release fixes a major problem with socket reads on Solaris.