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VisualSim Architect is a comprehensive modeling and simulation software that caters to systems engineering exploration of performance, power, and functionality. As a central part of the Model-based Systems Engineering flow, it enhances Electronic System Level (ESL) design processes for semiconductors. VisualSim Architect is platform-independent and operates across Windows, Linux, Mac OS/X, and Virtual Machines, making it versatile and accessible to a wide range of users. The tool allows engineers to simulate use-cases on architecture platforms, conducting trade-off studies to optimize specifications. This process ensures the precise monitoring of performance metrics, leading to improved efficiency and reduced development risks.
VisualSim Technology IP encompasses an extensive library of IP blocks that facilitate the rapid construction of system models, enabling comprehensive exploration at the system level. These blocks include both hardware and software components modeled for cycle accuracy and power efficiency, ensuring robust performance analytics. Components like ARM processors, DDR memory interfaces, AMBA buses, and RTOS elements are pre-configured to allow seamless integration into larger system designs. The blocks are adaptable and customizable, with the feature to modify arbitration schemes and port behavior, reflecting real-world standards.
VisualSim Technology provides a detailed exploration of electronic systems architecture, equipped with a multitude of stochastic, hardware, software, and traffic IP. It is instrumental in assembling highly accurate system models, incorporating features like RTOS scheduling and signal processing interfaces. The IP blocks are crafted according to industry standards and vendor datasheets, ensuring cycle-accurate functionality and power modeling. These models are beneficial for both military and commercial applications, offering insights into system bottlenecks while preserving data integrity throughout design iterations. VisualSim Technology IP significantly aids in optimizing system performance through iterative simulations and fine-tuning of design parameters.
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