Journal
Scientific and Technical Journal of Information Technologies, Mechanics and Optics
UDK004.2
Issue:6 (164)
Design mechanisms at the microarchitectural level for embedded systems
Annotation
The rapidly growing demand for the design of specialized computing systems, primarily embedded systems and systems-on-chip, constrained by the limited capabilities of developers, due to the high complexity of the task. A Design Mechanism is proposed as an abstraction (a conceptual construct) that explicitly separates architectural logic from the implementation level according to a comprehensive criterion. Its use is most effective in the design of subsystems characterized by high internal variability and numerous technological alternatives. Such an abstraction, applied at all stages of the design process, enables more efficient formation and analysis of the design solution space, radically reducing conceptual errors and expanding the number of design outcomes available for reuse.
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Articles in current issue
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Modeling and study of FBG interrogator based on a two-dimensional image sensor
- Innovative method for measuring and calculating spectral characteristics of selective elements in optoelectronic systems
- Plasmon resonance and anomalous dispersion of the dielectric permittivity and refractive index of the porous laser-structured surface of anodized titanium
Photophysical, optical and luminescent characteristics of heterocyclic-substituted coumarins and their application in OLED-devices
Influence of the growth rate of a highly strained InGaAs quantum well on the photoluminescence of a heterostructures grown on GaAs substrate
Optimization of the resonant frequency MEMS pressure sensor based on numerical simulation
Adaptive compensation of unknown disturbances in MIMO linear systems with distinct input delays
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Output predictor control for unstable linear systems with input delay
A multimodal approach for depression detection using semi-automatic data annotation and deterministic machine learning methods
Compound quality model for recommender system evaluation
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ReflectivePrompt: Reflective evolution in autoprompting algorithms
Transformer-based automated coronary artery segmentation with domain-specific pretraining
A weighted ensemble model combining ARIMA, LSTM, and GBM for robust time series prediction
A method of collective analysis of the external environment by autonomous agents under incomplete data conditions based on the longhorn beetle algorithm
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