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Multiprocessing architectures provide hardware for executing multiple tasks simultaneously via techniques such as simultaneous multithreading and symmetric multiprocessing. The problem addressed by this paper is that even when tasks that are executing concurrently do not communicate, they may interfere by affecting each others' timing. For cyber-physical(More)
This paper presents the concept of <i>adaptive programs</i>, whose computation and communication structures can <i>morph</i> to adapt to environmental and demand changes to save energy and computing resources. In this approach, programmers write one single program using a language at a higher level of abstraction. The compiler will exploit the properties of(More)
A widespread model of computation, particularly suited for signal processing applications, which are often a key element in cyber-physical systems, is Synchronous (or Static) Data Flow (SDF). But hierarchical SDF models are not compositional: a composite SDF actor (e.g., actor <i>P</i> of Figure 1) cannot be represented as an atomic SDF actor without loss(More)
—Deploying real-time control systems software on multiprocessors requires distributing tasks on multiple processing nodes and coordinating their executions using a protocol. One such protocol is the discrete-event (DE) model of computation. In this paper, we investigate distributed discrete-event (DE) with null-message protocol (NMP) on a multicore system(More)
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