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.
Abstractn/a
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.
Abstractn/a
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.
Abstractn/a
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.
Abstractn/a
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.
Abstractn/a