Milos Nikolic

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2022

Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training.

[BibT_eX]

[DOI]

Enrique Torres-Sánchez

CoRR, 2022

2021

Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick.

[BibT_eX]

[DOI]

Gennady Pekhimenko

Proceedings of Machine Learning and Systems 2021, 2021

2020

BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization.

[BibT_eX]

[DOI]

Ghouthi Boukli Hacene

Ciaran Bannon

CoRR, 2020

Late Breaking Results: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick.

[BibT_eX]

[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Accelerating Image-Sensor-Based Deep Learning Applications.

[BibT_eX]

[DOI]

Mostafa Mahmoud

Dylan Malone Stuart

Zissis Poulos

IEEE Micro, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

Characterizing Sources of Ineffectual Computations in Deep Learning Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019

Laconic deep learning inference acceleration.

[BibT_eX]

[DOI]

Sayeh Sharify

Proceedings of the 46th International Symposium on Computer Architecture, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

Laconic Deep Learning Computing.

[BibT_eX]

[DOI]

Sayeh Sharify

Mostafa Mahmoud

Natalie D. Enright Jerger

CoRR, 2018

DPRed: Making Typical Activation Values Matter In Deep Learning Computing.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Tayler H. Hetherington

Proceedings of the 16th IEEE International New Circuits and Systems Conference, 2018

Characterizing Sources of Ineffectual Computations in Deep Learning Networks.

[BibT_eX]

[DOI]

Mostafa Mahmoud