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Resource efficiency of the GigaNetIC chip multiprocessor architecture
Affiliation:1. Chemical and Aerosol Research Team, School of Engineering, Nazarbayev University, Astana 010000, Kazakhstan;2. Chemical Engineering Program, Middle East Technical University Northern Cyprus Campus, Guzelyurt, Mersin 10, Turkey;3. Center for Air Resources Engineering and Science, Clarkson University, Potsdam, NY 13699-5708, USA;1. Dyson School of Design Engineering, Imperial College London, London SW7 1NA, UK;2. Department of Civil and Environmental Engineering, Imperial College London, SW7 2BU, UK;3. Aeropowder Ltd, London, UK;4. Department of Aeronautics, Imperial College London, London SW7 2AZ, UK
Abstract:In this article, we present the prototypical implementation of the scalable GigaNetIC chip multiprocessor architecture. We use an FPGA-based rapid prototyping system to verify the functionality of our architecture in a network application scenario before fabricating the ASIC in a modern CMOS standard cell technology. The rapid prototyping environment gives us the opportunity to test our multiprocessor architecture with Ethernet-based data streams in a real network scenario. Our system concept is based on a massively parallel processor structure. Due to its regularity, our architecture can be easily scaled to accommodate a wide range of packet processing applications with various performance and throughput requirements at high reliability. Furthermore, the composition based on predefined building blocks guarantees fast design cycles and simplifies system verification. We present standard cell synthesis results as well as a performance analysis for a firewall application with various couplings of hardware accelerators. Finally, we compare implementations of our architecture with state-of-the-art desktop CPUs. We use simple, general-purpose applications as well as the introduced packet processing tasks to determine the performance capabilities and the resource efficiency of the GigaNetIC architecture. We show that, if supported by the application, parallelism offers more opportunities than increasing clock frequencies.
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