Chapter 16 Parallelization Techniques for Random Number Generators
Bradley, T
du Toit, J
Tong, R
Giles, M
Woodhams, P
GPU Computing Gems Emerald Edition
231-246
(2011)
doi:10.1016/b978-0-12-384988-5.00016-4
Chapter 10 Approximating the erfinv Function
Giles, M
GPU Computing Gems Jade Edition
109-116
(2012)
doi:10.1016/b978-0-12-385963-1.00010-1
Vectorizing Unstructured Mesh Computations for Many-core Architectures
Reguly, I
László, E
Mudalige, G
Giles, M
39-50
(07 Feb 2014)
doi:10.1145/2578948.2560686
Loop Tiling in Large-Scale Stencil Codes at Run-time with OPS
Reguly, I
Mudalige, G
Giles, M
(03 Apr 2017)
doi:10.48550/arxiv.1704.00693
Improved Acceleration of the GPU Fourier Domain Acceleration Search Algorithm
Adámek, K
Dimoudi, S
Giles, M
Armour, W
(29 Nov 2017)
doi:10.48550/arxiv.1711.10855
GPU Fast Convolution via the Overlap-and-Save Method in Shared Memory
Adámek, K
Dimoudi, S
Giles, M
Armour, W
(04 Oct 2019)
doi:10.48550/arxiv.1910.01972
Approximating inverse cumulative distribution functions to produce approximate random variables
Giles, M
Sheridan-Methven, O
ACM Transactions on Mathematical Software
volume 49
issue 3
(17 Jun 2023)
doi:10.1145/3604935
Intrinsic randomness in epidemic modelling beyond statistical uncertainty
Penn, M
Laydon, D
Penn, J
Whittaker, C
Morgenstern, C
Ratmann, O
Mishra, S
Pakkanen, M
Donnelly, C
Bhatt, S
Communications Physics
volume 6
(20 Jun 2023)
doi:10.1038/s42005-023-01265-2
The Riemann-Roch theorem in a singular setting
Rössler, D
(05 Jun 2023)
doi:10.48550/arxiv.2306.02787