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The method shows the importance of how processor behavior will be at higher core frequencies by taking the ratio of projected performance relative to projected power.
Berg et al. identify the following design principles for a time-predictable processor: "recoverability from information loss in the analysis, minimal variation of the instruction timing, noninterference between processor components, deterministic processor behavior, and comprehensive documentation" [10].
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Similarly, Edwards and Lee discussed as "It is time for a new era of processors whose temporal behavior is as easily controlled as their logical function" [7].
Visionics has developed a surveillance device that works with built-in processors to monitor human behavior.
The acSynth is composed of a characterization tool used to extract the energy consumption behavior of processors and also of a simulation method that, after characterization, is able to estimate software energy consumption at high speeds.
The proposed method adopts Coloured Petri Nets for modeling the functional behavior of processors and memory architectures at a high-level of abstraction.
Achieving reliable, repeatable, robust, and real-time (R4) behavior on single processor machines is challenging enough.
Eventually, enough references were found to ensure a precise determination of the behavior of the processor when in Decimal mode.
After a given size of the input, the execution times present a linear behavior (in each processor the time complexity is O(n/p)).
The behavior of a processor varies with the increase in the problem size (N) of the HPL benchmark, based on that the behavior can fall into one of three different zones: Rising zone The low problem size wont invoke memory and processor to their maximum performance.
In this paper, we describe a visualization system for the analysis of application behavior on superscalar processors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com