This is the documentation for both the term time-aware computing and the simulators using TAC. Here computing is handled in a broader sense: information processing in any implementation. It covers conventional computing, biomorphic computing, computing relating, among others, (the technology of) artificial intelligence, and biological computing. The computing objects use both their inputs and their internal state to calculate their output. The time-aware computing means to consider that computing means both processing the available data and delivering data to and from the computing object. Furthermore that those operations must by synchronized (and in this way they block each other); and that not only that those processes need time, but the inputs, output and the internal states all have their temporal behavior. We show that taking into account that temporal dependence explicitly, leads to considerable differences in their behavior as opposed with the behavior expected based on the time-unaware description.

Here you find its scientific background, the way of technical utilization (programming API, User's Guide with examples how to use the systems, etc.). Figure Fig_GraphicAbstract provides a picturesque overview on the effects of time-aware computing; from left to right: the theory of TAC; its effect on large-scale technological computing; explaining the information storage method and learning ability in biological computing systems. You can download this documentation as a tgz archive for offline reading.

Graphic abstract on time-aware computing and its implementation-dependent effects

For a first contact with TAC, the best place is to have a look at the getting started page that show you how to write and compile your first program with TAC.

You're already an TAC user? Here is a Release notes and porting guide to help porting your application.

The main documentation is organized into chapters covering different domains of features. They are themselves composed of user manual pages describing the different features in a comprehensive way, and reference pages that gives you access to the API documentation through the related modules and classes. Sometimes you may need our glossary or the search engine.

The major chapters are:

• NEURER: Neural operation related stuff
• PROC: Processor (and HThread)-level operation
• BASIC: Basic-level components, such as elementary modules and communication
• GENERAL: The non-packet specific docs
• SOURCES: The simulation source files
• OTHER: The other source files (GUI, main, test)