Dylan Malone Stuart
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Bit-tactical: A software/hardware approach to exploiting value and bit sparsity in neural networks
A Delmas Lascorz, P Judd, DM Stuart, Z Poulos, M Mahmoud, S Sharify, ...
Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019
Laconic deep learning inference acceleration
S Sharify, AD Lascorz, M Mahmoud, M Nikolic, K Siu, DM Stuart, Z Poulos, ...
2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture …, 2019
Memory requirements for convolutional neural network hardware accelerators
K Siu, DM Stuart, M Mahmoud, A Moshovos
2018 IEEE International Symposium on Workload Characterization (IISWC), 111-121, 2018
Shapeshifter: Enabling fine-grain data width adaptation in deep learning
AD Lascorz, S Sharify, I Edo, DM Stuart, OM Awad, P Judd, M Mahmoud, ...
Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019
Gpu-accelerated parameter selection for neural connectivity analysis devices
G O'Leary, I Taras, DM Stuart, J Koerner, DM Groppe, TA Valiante, ...
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018
Quantization error as a metric for dynamic precision scaling in neural net training
I Taras, DM Stuart
arXiv preprint arXiv:1801.08621, 2018
Accelerating Image-Sensor-Based Deep Learning Applications
M Mahmoud, DM Stuart, Z Poulos, AD Lascorz, P Judd, S Sharify, ...
IEEE Micro 39 (5), 26-35, 2019
Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning
A Moshovos, J Albericio, P Judd, A Delmas, S Sharify, M Mahmoud, ...
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS …, 2018
Neural network accelerator
A Moshovos, AD Lascorz, Z Poulos, DM Stuart, P Judd, S Sharify, ...
US Patent App. 16/968,678, 2021
An Efficient Hardware Architecture for Exploiting Sparsity in Neural Networks
DM Stuart
University of Toronto, 2019
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