Michael Davies

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
A Journey of a 1, 000 Kernels Begins with a Single Step: A Retrospective of Deep Learning on GPUs.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
BRYT: Data Rich Analytics Based Computer Architecture for A New Paradigm of Chip Design to Supplant Moore's Law.
CoRR, 2023

LookupFFN: Making Transformers Compute-lite for CPU inference.
Proceedings of the International Conference on Machine Learning, 2023

2022
The Mozart reuse exposed dataflow processor for AI and beyond: industrial product.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2021
Understanding the Limits of Conventional Hardware Architectures for Deep-Learning.
CoRR, 2021

2018
ARMOR: A Recompilation and Instrumentation-Free Monitoring Architecture for Detecting Memory Exploits.
IEEE Trans. Computers, 2018

A deep learning framework for causal shape transformation.
Neural Networks, 2018

2017
The variation of air and surface temperatures in London within a 1km grid using vehicle-transect and ASTER data.
Proceedings of the Joint Urban Remote Sensing Event, 2017

2016
Deep Action Sequence Learning for Causal Shape Transformation.
CoRR, 2016

Are we managing the risk of sharing cyber situational awareness? A UK Public Sector case study.
Proceedings of the 2016 International Conference On Cyber Situational Awareness, 2016

2015
Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

2011
E-Health: The Potential of Linked Data and Stream Reasoning for Personalised Healthcare.
Proceedings of the 2011 Developments in E-systems Engineering, 2011


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