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Affine arithmetic (AA) is widely used in range analysis in word-length optimization of hardware designs.
The studies discussed are mainly targeted at the generation and optimization of hardware resources from behavioral RTL descriptions.
The methodology has the advantage of combining real-time requirements of software with efficient optimization of hardware performance.
The search data flow of ACQPPS IP architecture conforms to the algorithm steps defined in Section 3.7, with further improvement and optimization of hardware parallel and pipelining features.
However, a scientific approach has been rarely applied to cost minimization, especially for the joint optimization of hardware and network systems.
Results show how a joint cost-minimization approach provides significant cost reductions with respect to the separate optimization of hardware and network sub systems.
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We have investigated the design criteria for MOCVD hardware and developed a tool for the straightforward optimization of the hardware to a given device structure and process.
Herein, we discuss the design and construction of the instrument, detail optimization of the hardware, electronics, and firmware, and benchmark instrument figures-of-merit.
In recent years, there has thus been increased interest in computation-driven optimization of optical hardware operating in strongly scattering tissues.
However, little is known from a formal point of view about the actual possibilities of optimization in terms of hardware and software.
Power consumption models yield fast and accurate power estimation with a %MAE of less than 9% and NRMSE of less than 7% enabling co-optimization of both hardware and software with respect to power consumption in early design stages.
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