Dylan Malone Stuart
Title
Cited by
Cited by
Year
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
45*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
252019
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
242018
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
82019
Quantization error as a metric for dynamic precision scaling in neural net training
I Taras, DM Stuart
arXiv preprint arXiv:1801.08621, 2018
22018
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
12018
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
12018
An Efficient Hardware Architecture for Exploiting Sparsity in Neural Networks
DM Stuart
University of Toronto, 2019
2019
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
2019
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