The phrase "adaptive computing" is correct and usable in written English.
It can be used in contexts related to technology, computer science, or systems that adjust to changing conditions or user needs.
Example: "The new software utilizes adaptive computing to optimize performance based on user behavior."
Alternatives: "dynamic computing" or "flexible computing".
The Ptolemy group is cooperating with Sanders on the development of software for synthesizing configurations of adaptive computing hardware from high-level, abstract descriptions of computations.
Finally, a conclusion is drawn that the essence of autonomic computing is the automation of system adaptations for computing systems, which validates the synonymity between autonomic computing and adaptive computing, and comments are made upon the challenge of autonomic computing systems and the intrinsic differences between autonomic computing systems and conventional feedback control systems.
The companies often use marketing terms like "autonomic" and "adaptive" computing to try to convey the appeal of what is a difficult, abstract subject.
It can be used for diagnostic on-line monitoring in dependable adaptive computing systems.
In adaptive computing, chip wiring would be reconfigured on the fly by software altering the circuitry's information pathways.
Our approach to building a design environment for ACS has been to focus on three areas of capability critical to the success of adaptive computing and to integrate these capabilities into an open, extensible software framework.
By expanding variables at discretized time intervals, an initial boundary value problem is converted into a series of recurrent boundary value problems which can be conveniently solved by EFG/EFG-FE with a self-adaptive computing process.
Therefore, self-adaptive computing is a potential paradigm as it can provide flexibility to explore the machine resources and improve performance on different execution scenarios of the production line.
The proposed design incorporates a self-adaptive computing concept, which is able to self-control its internal functions and operations, while adapting to the continually changing job site environment.
By expanding variables at a discretized time interval, a non-linear coupled space/time domain problem with initial and boundary values can be converted into a series of recursive linear boundary value problems, the variations of variables can be described more precisely via a self-adaptive computing procedure, and the non-linear iteration can be avoided.
In this work, a fuzzy inference system is proposed as an adaptive computational approach to compute a node's trust value and introduce an efficient routing scheme by selecting the most trustworthy nodes to establish a stable route.
