A SYSTEMC/SIMULINK CO-SIMULATION ENVIRONMENT OF THE JPEG ALGORITHM

In the past decades, many factors have been continuously increasing like the functionality of embedded systems as well as the time-to-market pressure has been continuously increasing. Simulation of an entire system including both hardware and software from early design stages is one of the effective approaches to improve the design productivity. A large number of research efforts on hardware/software (HW/SW) co-simulation have been made so far. Real-time operating systems have become one of the important components in the embedded systems. However, in order to validate function of the entire system, this system has to be simulated together with application software and hardware. Indeed, traditional methods of verification have proven to be insufficient for complex digital systems. Register transfer level test-benches have become too complex to manage and too slow to execute. New methods and verification techniques began to emerge over the past few years. Highlevel test-benches, assertion-based verification, formal methods, hardware verification languages are just a few examples of the intense research activities driving the verification domain

Designing parameterizable hardware IPs in a model-based design environment for high-level synthesis

Model-based hardware design allows one to map a single model to multiple hardware and/or software architectures, essentially eliminating one of the major limitations of manual coding in C or RTL. Model-based design for hardware implementation has traditionally offered a limited set of microarchitectures, which are typically suitable only for some application scenarios. In this article we illustrate how digital signal processing (DSP) algorithms can be modeled as flexible intellectual property blocks to be used within the popular Simulink model-based design environment. These blocks are written in C and are designed for both functional simulation and hardware implementation, including architectural design space exploration and hardware implementation through high-level synthesis. A key advantage of our modeling approach is that the very same bit-accurate model is used for simulation and high-level synthesis. To prove the feasibility of our proposed approach, we modeled a fast Fourier transform (FFT) algorithm and synthesized it for different DSP applications with very different performance and cost requirements. We also implemented a high-level-synthesis (HLS) intellectual property (IP) generator that can generate flexible FFT HLS-IP blocks that can be mapped to multiple micro-/macroarchitectures, to enable design space exploration as well as being used for functional simulation in the Simulink environment.</jats:p

Co-simulation techniques based on virtual platforms for SoC design and verification in power electronics applications

En las últimas décadas, la inversión en el ámbito energético ha aumentado considerablemente. Actualmente, existen numerosas empresas que están desarrollando equipos como convertidores de potencia o máquinas eléctricas con sistemas de control de última generación. La tendencia actual es usar System-on-chips y Field Programmable Gate Arrays para implementar todo el sistema de control. Estos dispositivos facilitan el uso de algoritmos de control más complejos y eficientes, mejorando la eficiencia de los equipos y habilitando la integración de los sistemas renovables en la red eléctrica. Sin embargo, la complejidad de los sistemas de control también ha aumentado considerablemente y con ello la dificultad de su verificación. Los sistemas Hardware-in-the-loop (HIL) se han presentado como una solución para la verificación no destructiva de los equipos energéticos, evitando accidentes y pruebas de alto coste en bancos de ensayo. Los sistemas HIL simulan en tiempo real el comportamiento de la planta de potencia y su interfaz para realizar las pruebas con la placa de control en un entorno seguro. Esta tesis se centra en mejorar el proceso de verificación de los sistemas de control en aplicaciones de electrónica potencia. La contribución general es proporcionar una alternativa a al uso de los HIL para la verificación del hardware/software de la tarjeta de control. La alternativa se basa en la técnica de Software-in-the-loop (SIL) y trata de superar o abordar las limitaciones encontradas hasta la fecha en el SIL. Para mejorar las cualidades de SIL se ha desarrollado una herramienta software denominada COSIL que permite co-simular la implementación e integración final del sistema de control, sea software (CPU), hardware (FPGA) o una mezcla de software y hardware, al mismo tiempo que su interacción con la planta de potencia. Dicha plataforma puede trabajar en múltiples niveles de abstracción e incluye soporte para realizar co-simulación mixtas en distintos lenguajes como C o VHDL. A lo largo de la tesis se hace hincapié en mejorar una de las limitaciones de SIL, su baja velocidad de simulación. Se proponen diferentes soluciones como el uso de emuladores software, distintos niveles de abstracción del software y hardware, o relojes locales en los módulos de la FPGA. En especial se aporta un mecanismo de sincronizaron externa para el emulador software QEMU habilitando su emulación multi-core. Esta aportación habilita el uso de QEMU en plataformas virtuales de co-simulacion como COSIL. Toda la plataforma COSIL, incluido el uso de QEMU, se ha analizado bajo diferentes tipos de aplicaciones y bajo un proyecto industrial real. Su uso ha sido crítico para desarrollar y verificar el software y hardware del sistema de control de un convertidor de 400 kVA

Addressing the Smart Systems Design Challenge: The SMAC Platform

This article presents the concepts, the organization, and the preliminary application results of SMAC, a smart systems co-design platform. The SMAC platform, which has been developed as Integrated Project (IP) of the 7th ICT Call under the Objective 3.2 \u201cSmart components and Smart Systems integration\u201d addresses the challenges of the integration of heterogeneous and conflicting domains that emerge in the design of smart systems. SMAC includes methodologies and EDA tools enabling multi-disciplinary and multi-scale modelling and design, simulation of multidomain systems, subsystems and components at different levels of abstraction, system integration and exploration for optimization of functional and non-functional metrics. The article presents the preliminary results obtained by adopting the SMAC platform for the design of a limb tracking smart system

High-level modelling languages

This paper gives an introduction to the latest developments in modern electronic design methodology. It will give a brief history of the evolution of design software in an attempt to explain the seemingly haphazard development up to the present-day situation

Toward model-based engineering for space embedded systems and software

International audienceEmbedded systems development suffers from difficulties to reach cost, delay and safety requirements. The continuous increase of system complexity requires a corresponding increase in the capability of design fault-free systems. Model-based engineering aims to make complexity management easier with the construction of a virtual representation of systems enabling early prediction of behaviour and performance. In this context, Space industry has specific needs to deal with remote systems that can not be maintained on ground. In such systems, fault management includes complex detection, localisation and recovery automatic procedures that can not be performed without confidence on safety. In this way, only simulation and formal proofs can support the validation of all the possible configurations. Thus, formal description of both functional and non-functional properties with temporal logic formulae is expected to analyse and to early predict system characteristics at execution. This paper is based on various studies and experiences that are carried out in space domain on the support provided by model-based engineering in terms of: • support to needs capture and requirements analysis, • support to design, • support to early verification and validation, • down to automatic generation of code

Modeling Cyber-Physical Production Systems with SystemC-AMS

The heterogeneous nature of SystemC-AMS makes it a perfect candidate solution to support Cyber-Physical Production Systems (CPPSs), i.e., systems that are characterized by a tight interaction of the cyber part with the surrounding physical world and with manufacturing production processes. Nonetheless, the support for the modeling of physical and mechanical dynamics typical of production machinery goes far beyond the initial application scenario of SystemC-AMS, thus limiting its effectiveness and adoption in the production and manufacturing context. This paper starts with an analysis of the current adoption of SystemC-AMS to highlight the open points that still limit its effectiveness, with the goal of pinpointing current issues and to propose solutions that could improve its effectiveness, and make SystemC-AMS an essential resource also in the new Industry 4.0 scenario