Michael Davies

According to our database, Michael Davies authored at least 17 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

A Journey of a 1, 000 Kernels Begins with a Single Step: A Retrospective of Deep Learning on GPUs.

Michael Davies, Ian McDougall, Selvaraj Anandaraj, Deep Machchhar, Rithik Jain, Karthikeyan Sankaralingam

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.

Ian McDougall, Shayne Wadle, Harish Batchu, Michael Davies, Karthikeyan Sankaralingam

CoRR, 2023

LookupFFN: Making Transformers Compute-lite for CPU inference.

Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh

Proceedings of the International Conference on Machine Learning, 2023

2022

The Mozart reuse exposed dataflow processor for AI and beyond: industrial product.

Karthikeyan Sankaralingam, Tony Nowatzki, Vinay Gangadhar, Preyas Shah, Michael Davies, William Galliher, Ziliang Guo, Jitu Khare, Deepak Vijay, Poly Palamuttam, Maghawan Punde, Alex Tan, Vijay Thiruvengadam, Rongyi Wang, Shunmiao Xu

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.

Michael Davies, Adam Labiosa, Karthikeyan Sankaralingam

CoRR, 2021

Divergence Estimation in Message Passing algorithms.

Nikolajs Skuratovs, Michael Davies

CoRR, 2021

2020

Compressed Sensing with Upscaled Vector Approximate Message Passing.

Nikolajs Skuratovs, Michael Davies

CoRR, 2020

Upscaling Vector Approximate Message Passing.

Nikolajs Skuratovs, Michael Davies

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

ARMOR: A Recompilation and Instrumentation-Free Monitoring Architecture for Detecting Memory Exploits.

Alex Grieve, Michael Davies, Phillip H. Jones, Joseph Zambreno

IEEE Trans. Computers, 2018

A deep learning framework for causal shape transformation.

Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

Neural Networks, 2018

2017

The variation of air and surface temperatures in London within a 1km grid using vehicle-transect and ASTER data.

Rochelle Schneider dos Santos, Jonathon Taylor, Michael Davies, Anna Mavrogianni, James Milner

Proceedings of the Joint Urban Remote Sensing Event, 2017

2016

Deep Action Sequence Learning for Causal Shape Transformation.

Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2016

Are we managing the risk of sharing cyber situational awareness? A UK Public Sector case study.

Michael Davies, Menisha Patel

Proceedings of the 2016 International Conference On Cyber Situational Awareness, 2016

2015

Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns.

Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

2012

Sparse Detection in the Chirplet Transform: Application to FMCW Radar Signals.

Fabien Millioz, Michael Davies

IEEE Trans. Signal Process., 2012

2011

E-Health: The Potential of Linked Data and Stream Reasoning for Personalised Healthcare.

Shamaila Iram, Dhiya Al-Jumeily, Paul Fergus, Martin Randles, Michael Davies

Proceedings of the 2011 Developments in E-systems Engineering, 2011

2008

A feasible Blind Equalization scheme in large constellation MIMO systems.

Xu Zhao, Michael Davies

Proceedings of the IEEE International Conference on Acoustics, 2008