Michael Davies

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 14

Top Topics

Generalized Belief Propagation

Message Passing

Hardware Architectures

Top Venues

Publications

Michael Davies, Ian McDougall, Selvaraj Anandaraj, Deep Machchhar, Rithik Jain, Karthikeyan Sankaralingam
A Journey of a 1, 000 Kernels Begins with a Single Step: A Retrospective of Deep Learning on GPUs. ASPLOS (2) (2024)
Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh
LookupFFN: Making Transformers Compute-lite for CPU inference. CoRR (2024)
Ian McDougall, Shayne Wadle, Harish Batchu, Michael Davies, Karthikeyan Sankaralingam
BRYT: Data Rich Analytics Based Computer Architecture for A New Paradigm of Chip Design to Supplant Moore's Law. CoRR (2023)
Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh
LookupFFN: Making Transformers Compute-lite for CPU inference. ICML (2023)
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
The Mozart reuse exposed dataflow processor for AI and beyond: industrial product. ISCA (2022)
Michael Davies, Adam Labiosa, Karthikeyan Sankaralingam
Understanding the Limits of Conventional Hardware Architectures for Deep-Learning. CoRR (2021)
Nikolajs Skuratovs, Michael Davies
Divergence Estimation in Message Passing algorithms. CoRR (2021)
Nikolajs Skuratovs, Michael Davies
Upscaling Vector Approximate Message Passing. ICASSP (2020)
Nikolajs Skuratovs, Michael Davies
Compressed Sensing with Upscaled Vector Approximate Message Passing. CoRR (2020)
Alex Grieve, Michael Davies, Phillip H. Jones, Joseph Zambreno
ARMOR: A Recompilation and Instrumentation-Free Monitoring Architecture for Detecting Memory Exploits. IEEE Trans. Computers 67 (8) (2018)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
A deep learning framework for causal shape transformation. Neural Networks 98 (2018)
Rochelle Schneider dos Santos, Jonathon Taylor, Michael Davies, Anna Mavrogianni, James Milner
The variation of air and surface temperatures in London within a 1km grid using vehicle-transect and ASTER data. JURSE (2017)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
Deep Action Sequence Learning for Causal Shape Transformation. CoRR (2016)
Michael Davies, Menisha Patel
Are we managing the risk of sharing cyber situational awareness? A UK Public Sector case study. CyberSA (2016)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. FE@NIPS (2015)
Fabien Millioz, Michael Davies
Sparse Detection in the Chirplet Transform: Application to FMCW Radar Signals. IEEE Trans. Signal Process. 60 (6) (2012)
Shamaila Iram, Dhiya Al-Jumeily, Paul Fergus, Martin Randles, Michael Davies
E-Health: The Potential of Linked Data and Stream Reasoning for Personalised Healthcare. DeSE (2011)
Xu Zhao, Michael Davies
A feasible Blind Equalization scheme in large constellation MIMO systems. ICASSP (2008)