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ORCIDMichael Davies
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2020 – today
- 2024
[c9]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: 20-36- [i6]Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh:
LookupFFN: Making Transformers Compute-lite for CPU inference. CoRR abs/2403.07221 (2024) - 2023
- [c8]Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh:
LookupFFN: Making Transformers Compute-lite for CPU inference. ICML 2023: 40707-40718 - [i5]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 abs/2312.13428 (2023) - 2022
- [c7]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: 978-992 - 2021
- [i4]Nikolajs Skuratovs, Michael Davies:
Divergence Estimation in Message Passing algorithms. CoRR abs/2105.07086 (2021) - [i3]Michael Davies, Adam Labiosa, Karthikeyan Sankaralingam:
Understanding the Limits of Conventional Hardware Architectures for Deep-Learning. CoRR abs/2112.02204 (2021) - 2020
- [c6]Nikolajs Skuratovs, Michael Davies:
Upscaling Vector Approximate Message Passing. ICASSP 2020: 4757-4761 - [i2]Nikolajs Skuratovs, Michael Davies:
Compressed Sensing with Upscaled Vector Approximate Message Passing. CoRR abs/2011.01369 (2020)
2010 – 2019
- 2018
- [j3]Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar:
A deep learning framework for causal shape transformation. Neural Networks 98: 305-317 (2018) - [j2]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): 1092-1104 (2018) - 2017
- [c5]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: 1-4 - 2016
- [c4]Michael Davies, Menisha Patel:
Are we managing the risk of sharing cyber situational awareness? A UK Public Sector case study. CyberSA 2016: 1-2 - [i1]Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar:
Deep Action Sequence Learning for Causal Shape Transformation. CoRR abs/1605.05368 (2016) - 2015
- [c3]Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar:
Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. FE@NIPS 2015: 213-225 - 2012
- [j1]Fabien Millioz, Michael Davies:
Sparse Detection in the Chirplet Transform: Application to FMCW Radar Signals. IEEE Trans. Signal Process. 60(6): 2800-2813 (2012) - 2011
- [c2]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: 46-49
2000 – 2009
- 2008
- [c1]Xu Zhao, Michael Davies:
A feasible Blind Equalization scheme in large constellation MIMO systems. ICASSP 2008: 1845-1848
Coauthor Index
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