The Department of Electronic Engineering of Beijing Institute of Technology is integrating emerging interconnect technologies with other high-performance technologies to meet the demanding requirement of future, real-time signal processing applications. For next-generation, scalable, modular and adaptable signal-processing system, a universal, flexible and high-performance signal processing module based on TMS320C6455 and RapidIO interconnect has been developed. The TMS320C6455 is the state-of-the-art fixed-point DSP from Texas Instruments with the computing-capability of 9600MIPS. RapidIO, a switched fabric technology for board-to-board and chip-to-chip interconnect, is for interconnectingheterogeneous computing nodes in a low-latency, high throughput and traffic-manageable way. With this versatile module, massively parallel multi-DSP computing system is feasible. In this paper, a prototype of 3 modules with 12 TMS320C6455s aggregated by Serial RapidIO is introduced and an application of this computing system in radar jamming system is briefly covered.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A High-Performance Scalable Computing System for Real-Time Signal Processing Applications


    Beteiligte:
    Zhang, Xiongkui (Autor:in) / Liu, Guoman (Autor:in) / Gao, Meiguo (Autor:in)


    Erscheinungsdatum :

    01.05.2008


    Format / Umfang :

    408177 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    High-performance scalable computing for real-time applications

    Boggess, T. / Shirley, F. | Tema Archiv | 1997


    A scalable, real-time, image processing pipeline

    Jonker, P. P. / Komen, E. R. / Kraaijveld, M. A. | British Library Online Contents | 1995


    A Scalable Grid Scheduler for Real-Time Applications

    Liu, C. / Baskiyar, S. | British Library Online Contents | 2009


    Scalable Computing Architecture for Time-Dependent Transportation Optimization Problems Based on High-Performance Computing Techniques

    Li, Pengfei (Taylor) / Wang, Peirong (Slade) / Chowdhury, Farzana et al. | Transportation Research Record | 2019