Vectorization and Minimization of Memory Footprint for Linear High-Order Discontinuous Galerkin Schemes
(2020)
Presentation / Conference Contribution
Gallard, J.-M., Rannabauer, L., Reinarz, A., & Bader, M. (2020, February). Vectorization and Minimization of Memory Footprint for Linear High-Order Discontinuous Galerkin Schemes. Presented at PDSEC, Denver
Outputs (188)
Slate: extending Firedrake's domain-specific abstraction to hybridized solvers for geoscience and beyond (2020)
Journal Article
Gibson, T. H., Mitchell, L., Ham, D. A., & Cotter, C. J. (2020). Slate: extending Firedrake's domain-specific abstraction to hybridized solvers for geoscience and beyond. Geoscientific Model Development, 13(2), 735-761. https://doi.org/10.5194/gmd-13-735-2020Within the finite element community, discontinuous Galerkin (DG) and mixed finite element methods have become increasingly popular in simulating geophysical flows. However, robust and efficient solvers for the resulting saddle point and elliptic syst... Read More about Slate: extending Firedrake's domain-specific abstraction to hybridized solvers for geoscience and beyond.
What support do systematic reviews provide for evidence-informed teaching about software engineering practice? (2020)
Journal Article
Budgen, D., Brereton, P., Williams, N., & Drummond, S. (2020). What support do systematic reviews provide for evidence-informed teaching about software engineering practice?. E-Informatica, 14(1), 7-60. https://doi.org/10.37190/e-inf200101Background: The adoption of the evidence-based research paradigm by software engineering researchers has created a growing knowledge base provided by the outcomes from systematic reviews. Aim: We set out to identify and catalogue a sample of the know... Read More about What support do systematic reviews provide for evidence-informed teaching about software engineering practice?.
BloCkEd: Blockchain-Based Secure Data Processing Framework in Edge Envisioned V2X Environment (2020)
Journal Article
Aujla, G. S., Singh, A., Singh, M., Sharma, S., Kumar, N., & Choo, K.-K. R. (2020). BloCkEd: Blockchain-Based Secure Data Processing Framework in Edge Envisioned V2X Environment. IEEE Transactions on Vehicular Technology, 69(6), https://doi.org/10.1109/tvt.2020.2972278
Variational networks of cube-connected cycles are recursive cubes of rings (2020)
Journal Article
Stewart, I. (2020). Variational networks of cube-connected cycles are recursive cubes of rings. Information Processing Letters, 157, Article 105925. https://doi.org/10.1016/j.ipl.2020.105925In this short note we show that the interconnection networks known as variational networks of cube-connected cycles form a sub-class of the recursive cubes of rings.
A Boundary Node Method for path planning of mobile robots (2020)
Journal Article
Saeed, R., Recupero, D. R., & Remagnino, P. (2020). A Boundary Node Method for path planning of mobile robots. Robotics and Autonomous Systems, 123, Article 103320. https://doi.org/10.1016/j.robot.2019.103320
Excluded minors are almost fragile (2020)
Journal Article
Brettell, N., Clark, B., Oxley, J., Semple, C., & Whittle, G. (2020). Excluded minors are almost fragile. Journal of Combinatorial Theory, Series B, 140, 263-322. https://doi.org/10.1016/j.jctb.2019.05.008
Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling (2020)
Journal Article
Al Moubayed, N., McGough, S., & Awwad Shiekh Hasan, B. (2020). Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling. PeerJ Computer Science, 6, Article e252. https://doi.org/10.7717/peerj-cs.252The article presents a discriminative approach to complement the unsupervised probabilistic nature of topic modelling. The framework transforms the probabilities of the topics per document into class-dependent deep learning models that extract highly... Read More about Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling.
Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking (2020)
Presentation / Conference Contribution
Blakey, W. A., Katsigiannis, S., Hajimirza, N., & Ramzan, N. (2020, December). Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking. Presented at IS&T International Symposium on Electronic Imaging, Burlingame, CA, USAThis work examines the different terminology used for defining gaze tracking technology and explores the different methodologies used for describing their respective accuracy. Through a comparative study of different gaze tracking technologies, such... Read More about Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking.
Colouring (Pr + Ps)-Free Graphs (2020)
Journal Article
Klimošová, T., Malík, J., Masařík, T., Novotná, J., Paulusma, D., & Slívová, V. (2020). Colouring (Pr + Ps)-Free Graphs. Algorithmica, 82(7), 1833-1858. https://doi.org/10.1007/s00453-020-00675-wThe k-Colouring problem is to decide if the vertices of a graph can be coloured with at most k colours for a fixed integer k such that no two adjacent vertices are coloured alike. If each vertex u must be assigned a colour from a prescribed list L(u)... Read More about Colouring (Pr + Ps)-Free Graphs.