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We present a dynamically reconfigurable multiCore architecture that detects program phase change at runtime and adapts to the changing program behavior by reconfiguring itself.
Ubiquitous environments are often considered as highly dynamic environments and contextual information can change at runtime.
This trade-off becomes even a greater challenge in systems where computing resources and application requirements may change at runtime.
This infrastructure also allows security policies to change at runtime, adapting to varying system state, intrusion, and other events.
Still, such models do not allow the topology of the data ow graph to change at runtime, a feature that is also required to program modern streaming applications.
Unlike many other folding schemes, the topology of connections between physical elements nodes does not change at runtime in this methodology.
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Based on our experience with these simulation environments, we sketch tool support for simulating architectural changes at runtime.
This has some disadvantages, limiting the extent to which behavior can be changed at runtime, but means that it is very fast.
In this paper, we present a Petri net-based approach that facilitates making structural changes at runtime to units of learning specified in IMS Learning Design IMS LDD).
While standard CMOS-based digital design provides substantial flexibility during pre-silicon design phases, the characteristics of the gates are set by fabrication variations and environmental conditions and cannot easily be changed at runtime.
First, compression settings can be changed at runtime (upon reception of a request message sent by an end user or according to the internal state of the camera sensor node).
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