Publications

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2013
Mahmoud, M., and A. Wassal, "Hybrid limited-pointer linked-list cache directory and cache coherence protocol", 2013 Second International Japan-Egypt Conference on Electronics, Communications and Computers (JEC-ECC), pp. 77-82, Dec, 2013. Abstract
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Mahmoud, M., and A. Wassal, "A novel 3D crossbar-based chip multiprocessor architecture", 2013 Second International Japan-Egypt Conference on Electronics, Communications and Computers (JEC-ECC), pp. 83-87, Dec, 2013. Abstract
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2016
Mahmoud, M., and A. Moshovos, "Memory controller design under cloud workloads", 2016 IEEE International Symposium on Workload Characterization (IISWC), pp. 1-11, Sep., 2016. Abstract
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2017
Mahmoud, M., B. Zheng, A. D. Lascorz, F. Heide, J. Assouline, P. Boucher, E. Onzon, and A. Moshovos, "IDEAL: Image DEnoising AcceLerator", 2017 50th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), pp. 82-95, Oct, 2017. Abstract
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2018
Moshovos, A., J. Albericio, P. Judd, A. Delmas, S. Sharify, M. Mahmoud, T. Hetherington, M. Nikolic, D. M. Stuart, K. Siu, et al., "Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning", 2018 16th IEEE International New Circuits and Systems Conference (NEWCAS), pp. 356-360, June, 2018. Abstract
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Mahmoud, M., K. Siu, and A. Moshovos, "Diffy: a Déjà vu-Free Differential Deep Neural Network Accelerator", 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), pp. 134-147, Oct, 2018. Abstract
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Nikolić, M., M. Mahmoud, and A. Moshovos, "Characterizing Sources of Ineffectual Computations in Deep Learning Networks", 2018 IEEE International Symposium on Workload Characterization (IISWC), pp. 86-87, Sep., 2018. Abstract
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Siu, K., D. M. Stuart, M. Mahmoud, and A. Moshovos, "Memory Requirements for Convolutional Neural Network Hardware Accelerators", 2018 IEEE International Symposium on Workload Characterization (IISWC), pp. 111-121, Sep., 2018. Abstract
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2019
Lascorz, A. D., P. Judd, D. M. Stuart, Z. Poulos, M. Mahmoud, S. Sharify, M. Nikolic, K. Siu, and A. Moshovos, "Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks", Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, New York, NY, USA, Association for Computing Machinery, pp. 749–763, 2019. Abstract
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Sharify, S., A. D. Lascorz, M. Mahmoud, M. Nikolic, K. Siu, D. M. Stuart, Z. Poulos, and A. Moshovos, "Laconic Deep Learning Inference Acceleration", Proceedings of the 46th International Symposium on Computer Architecture, New York, NY, USA, Association for Computing Machinery, pp. 304–317, 2019. Abstract
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Lascorz, A. D., S. Sharify, I. Edo, D. M. Stuart, O. M. Awad, P. Judd, M. Mahmoud, M. Nikolic, K. Siu, Z. Poulos, et al., "ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning", Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, New York, NY, USA, Association for Computing Machinery, pp. 28–41, 2019. Abstract
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Nikolić, M., M. Mahmoud, A. Moshovos, Y. Zhao, and R. Mullins, "Characterizing Sources of Ineffectual Computations in Deep Learning Networks", 2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), pp. 165-176, March, 2019. Abstract
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Mahmoud, M., D. M. Stuart, Z. Poulos, A. D. Lascorz, P. Judd, S. Sharify, M. Nikolić, K. Siu, I. E. Vivancos, J. Albericio, et al., "Accelerating Image-Sensor-Based Deep Learning Applications", IEEE Micro, vol. 39, no. 5, pp. 26-35, Sep., 2019. Abstract
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