Jose Nunez-Yanez
Professor
Publikationer
Jose Luis Nunez-Yanez, Olle Hansson, 
On-device Inference and Training Acceleration of Graph Neural Networks with Quantized Arithmetic, 2025 INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE TECHNOLOGY, ICFPT, IEEE International Conference on Field Programmable Technology, IEEE COMPUTER SOC (2025) 
https://doi.org/10.1109/ICFPT67023.2025.00011
Jose Nunez-Yanez, Hadi Mousanejad Jeddi, SGRACE: Scalable Architecture for On-Device Inference and Training of Graph Attention and Convolutional Networks, IEEE Transactions on Very Large Scale Integration (vlsi) Systems 33:2929-2939 (2025) https://doi.org/10.1109/TVLSI.2025.3591522
Abdolvahab Khalili Sadaghiani, Jose Luis Nunez-Yanez, n-HDP-GNN: community-aware Bayesian clustering for over-smoothing-resilient, communication-efficient distributed GNNs, Journal of Supercomputing 81:1560 (2025) https://doi.org/10.1007/s11227-025-08017-9
Abdolvahab Khalili Sadaghiani, Jose Nunez-Yanez, Exploring the applicability of Graph Attention Networks in computer vision and their hardware acceleration, AccML papers 2025 (2025)
Kaan Olgu, Tobias Kenter, Jose Luis Nunez-Yanez, Simon McIntosh-Smith, Tom Deakin, Towards Efficient Load Balancing BFS on GPUs: One Code for AMD, Intel & Nvidia, PROCEEDINGS OF 2025 WORKSHOPS OF THE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, NETWORK, STORAGE, AND ANALYSIS, SC25 WORKSHOPS, pp. 2077-2087, ASSOC COMPUTING MACHINERY (2025) https://doi.org/10.1145/3731599.3767570