Michael Davies

18 papers A* 2C 1Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Defying Moore: Envisioning the Economics of a Semiconductor Revolution through 12nm Specialization. Commun. ACM Michael Davies, Karthikeyan Sankaralingam
2025	J	`jnl`	Efficient LLM Inference: Bandwidth, Compute, Synchronization, and Capacity are all you need. CoRR Michael Davies, Neal Clayton Crago, Karthikeyan Sankaralingam, Christos Kozyrakis
2025	J	`jnl`	Kitsune: Enabling Dataflow Execution on GPUs. CoRR Michael Davies, Neal Clayton Crago, Karthikeyan Sankaralingam, Stephen W. Keckler
2025	J	`jnl`	Pedagogically Motivated and Composable Open-Source RISC-V Processors for Computer Science Education. CoRR Ian McDougall, Harish Batchu, Michael Davies, Karthikeyan Sankaralingam
2025	J	`jnl`	Privacy-Preserving Performance Profiling of In-The-Wild GPUs. CoRR Ian McDougall, Michael Davies, Rahul Chatterjee, Somesh Jha, Karthikeyan Sankaralingam
2024	—	`conf`	A Journey of a 1, 000 Kernels Begins with a Single Step: A Retrospective of Deep Learning on GPUs. ASPLOS (2) Michael Davies, Ian McDougall, Selvaraj Anandaraj, Deep Machchhar, Rithik Jain, Karthikeyan Sankaralingam
2024	J	`jnl`	LookupFFN: Making Transformers Compute-lite for CPU inference. CoRR Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh
2023	J	`jnl`	BRYT: Data Rich Analytics Based Computer Architecture for A New Paradigm of Chip Design to Supplant Moore's Law. CoRR Ian McDougall, Shayne Wadle, Harish Batchu, Michael Davies, Karthikeyan Sankaralingam
2023	A*	`conf`	LookupFFN: Making Transformers Compute-lite for CPU inference. ICML Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh
2022	A*	`conf`	The Mozart reuse exposed dataflow processor for AI and beyond: industrial product. ISCA 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
2021	J	`jnl`	Understanding the Limits of Conventional Hardware Architectures for Deep-Learning. CoRR Michael Davies, Adam Labiosa, Karthikeyan Sankaralingam
2018	J	`jnl`	A deep learning framework for causal shape transformation. Neural Networks Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
2018	J	`jnl`	ARMOR: A Recompilation and Instrumentation-Free Monitoring Architecture for Detecting Memory Exploits. IEEE Trans. Computers Alex Grieve, Michael Davies, Phillip H. Jones, Joseph Zambreno
2017	—	`conf`	The variation of air and surface temperatures in London within a 1km grid using vehicle-transect and ASTER data. JURSE Rochelle Schneider dos Santos, Jonathon Taylor, Michael Davies, Anna Mavrogianni, James Milner
2016	—	`conf`	Are we managing the risk of sharing cyber situational awareness? A UK Public Sector case study. CyberSA Michael Davies, Menisha Patel
2016	J	`jnl`	Deep Action Sequence Learning for Causal Shape Transformation. CoRR Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
2015	—	`conf`	Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. FE@NIPS Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
2011	C	`conf`	E-Health: The Potential of Linked Data and Stream Reasoning for Personalised Healthcare. DeSE Shamaila Iram, Dhiya Al-Jumeily, Paul Fergus, Martin Randles, Michael Davies