Dylan Malone Stuart

Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How pdf

Alberto Delmas, Patrick Judd, Dylan Malone Stuart, 2018, ArXiv.

Investigating the Effects of Dynamic Precision Scaling on Neural Network Training pdf

Dylan Malone Stuart, Ian Taras, 2018, ArXiv.

Quantization Error as a Metric for Dynamic Precision Scaling in Neural Net Training

Dylan Malone Stuart, Ian Taras, Ian Taras, 2018 .

GPU - Accelerated Parameter Selection for Neural Connectivity Analysis Devices

Dylan Malone Stuart, Roman Genov, David M. Groppe, 2018, 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS).

Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning

Natalie D. Enright Jerger, Alberto Delmas, Patrick Judd, 2018, 2018 16th IEEE International New Circuits and Systems Conference (NEWCAS).

Laconic Deep Learning Inference Acceleration

Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, 2019, 2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture (ISCA).

Accelerating Image-Sensor-Based Deep Learning Applications

Patrick Judd, Dylan Malone Stuart, Zissis Poulos, 2019, IEEE Micro.

ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning

Patrick Judd, Dylan Malone Stuart, Zissis Poulos, 2019, MICRO.

Memory Requirements for Convolutional Neural Network Hardware Accelerators

Dylan Malone Stuart, Mostafa Mahmoud, Andreas Moshovos, 2018, 2018 IEEE International Symposium on Workload Characterization (IISWC).

Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks

Patrick Judd, Dylan Malone Stuart, Zissis Poulos, 2019, ASPLOS.