A high-level, component-based methodology and design environment for multiprocessor SoC architectures reduces design time without significant efficiency loss in the final circuit. This design environment provides tools for automatic wrapper generation that synthesize hardware interfaces, device drivers, and operating systems implementing high-level interconnect APIs
By separating component behavior and communication infrastructure and spanning multiple abstraction levels, Colif lets designers use a divide-and-conquer approach for complex designs and focus on important customizations as they progressively refine the SOC architecture
This paper presents a high-level component-based methodology and design environment for application-specific multicore SoC architectures. Component-based design provides primitives to build complex architectures from basic components. This bottom up approach allows design-architects to explore efficient custom solutions with best performances. This paper presents a high-level component-based methodology and design environment for application-specific multicore SoC architectures. The system specifications are represented as a virtual architecture described in a SystemC-like model and annotated with a set of configuration parameters. Our component-based design environment provides automatic wrapper-generation tools able to synthesize hardware interfaces, device drivers, and operating systems that implement a high-level interconnect API. This approach, experimented over a VDSL system, shows a drastic design time reduction without any significant efficiency loss in the final circuit
This paper addresses performance estimation and architecture exploration issues within the context of hardware/software codesign. We introduce a new methodology to rapidly explore the large design space encountered in hardware/software systems. The proposed methodology is based on a fast and accurate estimation approach. This estimation approach takes advantage of both system and RT levels of abstraction, and combines both static and dynamic analysis techniques, in order to obtain the best trade-off between speed and accuracy. It has been implemented as an extension to a hardware/software codesign flow to enable the exploration of a large number of multiprocessor architecture solutions from the very start of the design process. The effectiveness of the proposed methodology is illustrated by a significant application example. Experimental results indicate strong advantages of the proposed methodology
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