| FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems K Muhammad, Q Wang, D O'Reilly-Morgan, E Tragos, B Smyth, N Hurley, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 188 | 2020 |
| Utilization-aware load balancing for the energy efficient operation of the big. LITTLE processor M Kim, K Kim, JR Geraci, S Hong 2014 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-4, 2014 | 60 | 2014 |
| PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy E Duriakova, EZ Tragos, B Smyth, N Hurley, FJ Peña, P Symeonidis, ... Proceedings of the 13th ACM Conference on Recommender Systems, 457-461, 2019 | 36 | 2019 |
| PyRecGym: a reinforcement learning gym for recommender systems B Shi, MG Ozsoy, N Hurley, B Smyth, EZ Tragos, J Geraci, A Lawlor Proceedings of the 13th ACM Conference on Recommender Systems, 491-495, 2019 | 32 | 2019 |
| A transpose-free in-place SIMD optimized FFT JR Geraci, SM Sacco ACM Transactions on Architecture and Code Optimization (TACO) 9 (3), 1-21, 2012 | 8 | 2012 |
| A comparison of parallel Gaussian elimination solvers for the computation of electrochemical battery models on the cell processor JR Geraci | 6 | 2008 |
| An Algorithmic Framework for Decentralised Matrix Factorisation E Duriakova, W Huáng, E Tragos, A Lawlor, B Smyth, J Geraci, N Hurley Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 5 | 2021 |
| Using the cell broadband engine to compute an electrochemical battery model J Geraci | 5 | 2007 |
| Keeping people active and healthy at home using a reinforcement learning-based fitness recommendation framework E Tragos, D O’Reilly-Morgan, J Geraci, B Shi, B Smyth, C Doherty, ... 32nd International Joint Conference on Artificial Intelligence, IJCAI-23 …, 2023 | 2 | 2023 |
| Memory management scheme to improve utilization efficiency and provide fast contiguous allocation without a statically reserved area M Kim, J Koo, H Lee, JR Geraci ACM Transactions on Design Automation of Electronic Systems (TODAES) 21 (1 …, 2015 | 2 | 2015 |
| Large multicore ffts: Approaches to optimization S Sacco, J Geraci Proc. High Performance Embedded Computing (HPEC) 140, 2008 | 2 | 2008 |
| High Performance Simulations of Electrochemical Models on the Cell Broadband Engine J Geraci, S Raghunathan HPEC Workshop, 2007 | 1 | 2007 |
| A method of limiting performance loss of CNNs in noisy environments JR Geraci, P Kapoor arXiv preprint arXiv:1702.00932, 2017 | | 2017 |
| Improving program productivity, performance and portability through a high level language for graphics and game development JR Geraci, ER Speed ACM SIGGRAPH 2010 Posters, 1-1, 2010 | | 2010 |
| PVTOL: Designing Portability, Productivity and Performance for Multicore Architectures H Kim, N Bliss, J Daly, K Eng, J Gale, J Geraci, R Haney, J Kepner, ... | | 2008 |
| A Fault Tolerant Gaussian Elimination Solver for the Cell Broadband Engine J Geraci | | |
Aonghus LawlorInsight Centre for Data Analytics, University College Dublininsight-centre.org의 이메일 확인됨
