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A.S.McGough
A.S.McGough
Newcastle University
Verificeret mail på newcastle.ac.uk
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Citeret af
Citeret af
År
Predicting the Computational Cost of Deep Learning Models
D Justus, J Brennan, S Bonner, AS McGough
2018 IEEE International Conference on Big Data (Big Data), 3873-3882, 2018
3652018
Job submission description language (jsdl) specification, version 1.0
A Anjomshoaa, F Brisard, M Drescher, D Fellows, A Ly, S McGough, ...
Open Grid Forum, GFD 56, 2005
2112005
Job submission description language (jsdl) specification
A Anjomshoaa, F Brisard, M Drescher, D Fellows, A Ly, S McGough, ...
Version 1, 15, 2005
1842005
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption—A systematic review
M Khalil, AS McGough, Z Pourmirza, M Pazhoohesh, S Walker
Engineering Applications of Artificial Intelligence 115, 105287, 2022
1642022
Workflow enactment in ICENI
S McGough, L Young, A Afzal, S Newhouse, J Darlington
UK e-Science All Hands Meeting 9, 894-900, 2004
1122004
ICENI: Optimisation of component applications within a Grid environment
N Furmento, A Mayer, S McGough, S Newhouse, T Field, J Darlington
Parallel Computing 28 (12), 1753-1772, 2002
1092002
ICENI dataflow and workflow: Composition and scheduling in space and time
A Mayer, S McGough, N Furmento, W Lee, S Newhouse, J Darlington
UK e-Science All Hands Meeting 634, 627, 2003
1052003
Scheduling architecture and algorithms within the ICENI Grid middleware
L Young, S McGough, S Newhouse, J Darlington
UK e-Science All Hands Meeting, 5-12, 2003
1012003
A mechanistic Individual-based Model of microbial communities
PG Jayathilake, P Gupta, B Li, C Madsen, O Oyebamiji, ...
PloS one 12 (8), e0181965, 2017
982017
RESEARCH Open Access
V Glenis, M As, V Kutija, C Kilsby, S Woodman, V Glenis, AS Mcgough, ...
84*2014
Flood modelling for cities using Cloud computing
V Glenis, AS McGough, V Kutija, C Kilsby, S Woodman
Journal of Cloud Computing: Advances, Systems and Applications 2, 1-14, 2013
842013
Making the grid predictable through reservations and performance modelling
AS Mcgough, A Afzal, J Darlington, N Furmento, A Mayer, L Young
The Computer Journal 48 (3), 358-368, 2005
792005
Black-box variational inference for stochastic differential equations
T Ryder, A Golightly, AS McGough, D Prangle
International Conference on Machine Learning, 4423-4432, 2018
752018
Capacity planning and scheduling in Grid computing environments
A Afzal, AS McGough, J Darlington
Future generation computer systems 24 (5), 404-414, 2008
752008
Artificial Neural Networks and Machine Learning–ICANN 2018
Z Alhassan, AS McGough, R Alshammari, T Daghstani, D Budgen, ...
Springer, Cham, 2018
71*2018
NUFEB: A massively parallel simulator for individual-based modelling of microbial communities
B Li, D Taniguchi, JP Gedara, V Gogulancea, R Gonzalez-Cabaleiro, ...
PLoS computational biology 15 (12), e1007125, 2019
652019
Job Submission Description Language (JSDL) Specification v1. 0
A Anjomshoaa, F Brisard, M Drescher, D Fellows, A Ly, S McGough, ...
Grid Forum Document GFD 56, 1.4, 2005
612005
Job submission description language (jsdl) specification v1. 0
A Anjomshoaa, F Brisard, M Drescher, D Fellows, A Ly, S McGough, ...
Grid Forum Document GFD 56, 1.4, 2005
612005
Toward a Framework for Teaching Artificial Intelligence to a Higher Education Audience
B Allen, AS McGough, M Devlin
ACM Transactions on Computing Education (TOCE) 22 (2), 1-29, 2021
592021
Optimisation of component-based applications within a grid environment
N Furmento, A Mayer, S McGough, S Newhouse, T Field, J Darlington
Proceedings of the 2001 ACM/IEEE conference on Supercomputing, 30-30, 2001
582001
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Artikler 1–20