All Outputs (7)

An investigation into alternative methods for the simulation and analysis of growth models (2019)
Thesis
Odiam, L. R. F. (2019). An investigation into alternative methods for the simulation and analysis of growth models. (Thesis). University of Hull. Retrieved from https://hull-repository.worktribe.com/output/4221634

Complex systems are a rapidly increasing area of research covering numerous disciplines including economics and even cancer research, as such the optimisation of the simulations of these systems is important. This thesis will look specifically at two... Read More about An investigation into alternative methods for the simulation and analysis of growth models.

Middle-out domain-specific aspect languages and their application in agent-based modelling runtime inspection (2019)
Thesis
Maddra, C. A. (2019). Middle-out domain-specific aspect languages and their application in agent-based modelling runtime inspection. (Thesis). University of Hull. Retrieved from https://hull-repository.worktribe.com/output/4221550

Domain-Specific Aspect Languages (DSALs) are a valuable tool for separating cross-cutting concerns, particularly within fields with endemic cross-cutting practices. Agent-Based Modelling (ABM) runtime inspection, which cuts across the core concern of... Read More about Middle-out domain-specific aspect languages and their application in agent-based modelling runtime inspection.

Computational methods for finding long simple cycles in complex networks (2017)
Journal Article
Chalupa, D., Balaghan, P., Hawick, K. A., & Gordon, N. A. (2017). Computational methods for finding long simple cycles in complex networks. Knowledge-Based Systems, 125, 96-107. https://doi.org/10.1016/j.knosys.2017.03.022

© 2017 Elsevier B.V. Detection of long simple cycles in real-world complex networks finds many applications in layout algorithms, information flow modelling, as well as in bioinformatics. In this paper, we propose two computational methods for findin... Read More about Computational methods for finding long simple cycles in complex networks.

Hypercubic storage layout and transforms in arbitrary dimensions using GPUs and CUDA (2010)
Journal Article
Hawick, K. A., & Playne, D. P. (2011). Hypercubic storage layout and transforms in arbitrary dimensions using GPUs and CUDA. Concurrency and Computation: Practice and Experience, 23(10), 1027-1050. https://doi.org/10.1002/cpe.1628

Many simulations in the physical sciences are expressed in terms of rectilinear arrays of variables. It is attractive to develop such simulations for use in 1-, 2-, 3- or arbitrary physical dimensions and also in a manner that supports exploitation o... Read More about Hypercubic storage layout and transforms in arbitrary dimensions using GPUs and CUDA.

Parallel graph component labelling with GPUs and CUDA (2010)
Journal Article
Hawick, K. A., Leist, A., & Playne, D. P. (2010). Parallel graph component labelling with GPUs and CUDA. Parallel Computing, 36(12), 655-678. https://doi.org/10.1016/j.parco.2010.07.002

Graph component labelling, which is a subset of the general graph colouring problem, is a computationally expensive operation that is of importance in many applications and simulations. A number of data-parallel algorithmic variations to the componen... Read More about Parallel graph component labelling with GPUs and CUDA.

Regular lattice and small-world spin model simulations using CUDA and GPUs (2010)
Journal Article
Hawick, K. A., Leist, A., & Playne, D. P. (2011). Regular lattice and small-world spin model simulations using CUDA and GPUs. International Journal of Parallel Programming, 39(2), 183-201. https://doi.org/10.1007/s10766-010-0143-4

Data-parallel accelerator devices such as Graphical Processing Units (GPUs) are providing dramatic performance improvements over evenmulti-coreCPUs for lattice-oriented applications in computational physics. Models such as the Ising and Potts models... Read More about Regular lattice and small-world spin model simulations using CUDA and GPUs.

Exploiting graphical processing units for data-parallel scientific applications (2009)
Journal Article
Leist, A., Playne, D. P., & Hawick, K. A. (2009). Exploiting graphical processing units for data-parallel scientific applications. Concurrency and Computation: Practice and Experience, 21(18), 2400-2437. https://doi.org/10.1002/cpe.1462

Graphical processing units (GPUs) have recently attracted attention for scientific applications such as particle simulations. This is partially driven by low commodity pricing of GPUs but also by recent toolkit and library developments that make them... Read More about Exploiting graphical processing units for data-parallel scientific applications.