Search Results - PAPADOPOULOS, Agathoklis

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  1. 1
    A high performance hardware architecture for portable, low-power retinal vessel segmentation

    A high performance hardware architecture for portable, low-power retinal vessel segmentation by Koukounis, Dimitris, Ttofis, Christos, Papadopoulos, Agathoklis, Theocharides, Theocharis

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  2. 2
    FPGA-based hardware acceleration for local complexity analysis of massive genomic data

    FPGA-based hardware acceleration for local complexity analysis of massive genomic data by Papadopoulos, Agathoklis, Kirmitzoglou, Ioannis, Promponas, Vasilis J., Theocharides, Theocharis

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  3. 3
    FPGA-based hardware acceleration for local complexity analysis of massive genomic data : HARDWARE FOR BIOINFORMATICS APPLICATIONS

    FPGA-based hardware acceleration for local complexity analysis of massive genomic data : HARDWARE FOR BIOINFORMATICS APPLICATIONS by PAPADOPOULOS, Agathoklis, KIRMITZOGLOU, Ioannis, PROMPONAS, Vasilis J, THEOCHARIDES, Theocharis

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  4. 4
    Towards optimal CMOS lifetime via unified reliability modeling and multi-objective optimization

    Towards optimal CMOS lifetime via unified reliability modeling and multi-objective optimization by Papadopoulos, Agathoklis, Theocharides, Theocharis, Michael, Maria K.

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  5. 5
    An MPSoC-Based QAM Modulation Architecture with Run-Time Load-Balancing

    An MPSoC-Based QAM Modulation Architecture with Run-Time Load-Balancing by Ttofis, Christos, Papadopoulos, Agathoklis, Theocharides, Theocharis, Michael, Maria K, Doumenis, Demosthenes

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  6. 6
    An MPSoC-Based QAM Modulation Architecture with Run-Time Load-Balancing

    An MPSoC-Based QAM Modulation Architecture with Run-Time Load-Balancing by Ttofis, Christos, Papadopoulos, Agathoklis, Theocharides, Theocharis, Michael, MariaK, Doumenis, Demosthenes

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  7. 7
    Towards hardware-accelerated suffix array construction architecture for the de novo DNA sequence assembly

    Towards hardware-accelerated suffix array construction architecture for the de novo DNA sequence assembly by Papadopoulos, Agathoklis, Christodoulakis, Manolis, Theocharides, Theocharis

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  8. 8
    GPU technology as a platform for accelerating physiological systems modeling based on Laguerre-Volterra networks

    GPU technology as a platform for accelerating physiological systems modeling based on Laguerre-Volterra networks by Papadopoulos, Agathoklis, Kostoglou, Kyriaki, Mitsis, Georgios D., Theocharides, Theocharis

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  9. 9
    GPU technology as a platform for accelerating local complexity analysis of protein sequences

    GPU technology as a platform for accelerating local complexity analysis of protein sequences by Papadopoulos, Agathoklis, Kirmitzoglou, Ioannis, Promponas, Vasilis J., Theocharides, Theocharis

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  10. 10
    Opportunities from the use of FPGAs as platforms for bioinformatics algorithms

    Opportunities from the use of FPGAs as platforms for bioinformatics algorithms by Chrysos, G., Sotiriades, E., Rousopoulos, C., Dollas, A., Papadopoulos, A., Kirmitzoglou, I., Promponas, V., Theocharides, T., Petihakis, G., Lagnel, J., Vavylis, P., Kotoulas, G.

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  11. 11
    Reconfiguring the Bioinformatics Computational Spectrum: Challenges and Opportunities of FPGA-Based Bioinformatics Acceleration Platforms

    Reconfiguring the Bioinformatics Computational Spectrum: Challenges and Opportunities of FPGA-Based Bioinformatics Acceleration Platforms by Chrysos, Grigorios, Sotiriades, Euripides, Rousopoulos, Christos, Pramataris, Kostas, Papaefstathiou, Ioannis, Dollas, Apostolos, Papadopoulos, Agathoklis, Kirmitzoglou, Ioannis, Promponas, Vasilis J., Theocharides, Theocharis, Petihakis, George, Lagnel, Jacques

    Published in IEEE design and test
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