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Auflistung nach Autor:in "Elhossini, Ahmed"

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  • Zeitschriftenartikel
    Proximity Scheme for Instruction Caches in Tiled CMP Architectures
    (PARS-Mitteilungen: Vol. 32, Nr. 1, 2015) Alawneh, Tareq; Chi, Chi Ching; Elhossini, Ahmed; Juurlink, Ben
    Recent research results show that there is a high degree of code sharing between cores in multi-core architectures. In this paper we propose a proximity scheme for the instruction caches, a scheme in which the shared code blocks among the neighbouring L2 caches in tiled multi-core architectures are exploited to reduce the average cache miss penalty and the on-chip network traffic. We evaluate the proposed proximity scheme for instruction caches using a full-system simulator running an n-core tiled CMP. The experimental results reveal a significant execution time improvement of up to 91.4% for microbenchmarks whose instruction footprint does not fit in the private L2 cache. For real applications from the PARSEC benchmarks suite, the proposed scheme results in speedups of up to 8%.
  • Zeitschriftenartikel
    Real-Time Vision System for License Plate Detection and Recognition on FPGA
    (PARS-Mitteilungen: Vol. 32, Nr. 1, 2015) Rosli, Faird; Elhossini, Ahmed; Juurlink, Ben
    Rapid development of the Field Programmable Gate Array (FPGA) offers an alternative way to provide acceleration for computationally intensive tasks such as digital signal and image processing. Its ability to perform parallel processing shows the potential in implementing a high speed vision system. Out of numerous applications of computer vision, this paper focuses on the hardware implementation of one that is commercially known as Automatic Number Plate Recognition (ANPR).Morphological operations and Optical Character Recognition (OCR) algorithms have been implemented on a Xilinx Zynq-7000 All-Programmable SoC to realize the functions of an ANPR system. Test results have shown that the designed and implemented processing pipeline that consumed 63 % of the logic resources is capable of delivering the results with relatively low error rate. Most importantly, the computation time satisfies the real-time requirement for many ANPR applications.