1,721,042 research outputs found
Unstructured Mesh Applications at Edinburgh Parallel Computing Centre: Libraries, Applications and Interactive Learning
No full textWe examine work carried out at Edinburgh Parallel Computing Centre relevant to parallel unstructured mesh applications of the type commonly encountered in Finite Element and Finite Volume calculations. We have developed a suite of Parallel Utilities Libraries to support distributed unstructured mesh programming which are portable to a wide variety of platforms. These libraries cover mesh decomposition, preprocessing, parallel distribution and management, and allow the use of either overlapping or non-overlapping domains. Based around our experience with unstructured mesh applications we have developed course material suitable for presentation on the WWW via our EPIC interactive courseware package. We illustrate the use of our libraries to parallelise a demonstration engineering code and examine industrial collaborations that have benefited from them. We also survey related work at the Centre, including the EPIC courseware
[CODE] dvalters/RSE18-Python-Parallel-workshop: Parallelism with Python workshop
No full textFirst release of the workshop presented at RSE 2018 and EuroSciPy 2018Declan Valters. (2018). dvalters/RSE18-Python-Parallel-workshop: Parallelism with Python workshop (v1.0). Zenodo. https://doi.org/10.5281/zenodo.140968
Session stitching using sequence fingerprinting for web page visits
Full text linksponsorship: We would like to thank the Edinburgh Parallel Computing Centre (EPCC) for their support to this research, as well as the DataLab for their funding under grant number 7868323. (Edinburgh Parallel Computing Centre (EPCC), DataLab|7868323)status: Published onlin
Gazetteer_HTO: A Knowledge Graph for representing the Gazetteers of Scotland (1803-1901) following Heritage Textual Ontology
No full textThis Knowlege Graph represents the information of the "Gazeteers of Scotland" (years: 1803 - 1901) collection in RDF (ttl format). This collection comprises twenty volumes of the most popular descriptive gazetteers of Scotland in the 19th century. Principal places in Scotland, including towns, counties, castles, glens, antiquities and parishes, are listed alphabetically. Each entry includes detailed historical and geographical information about each place. The raw dataset is provided by the NLS in this link. As other NLS data collections, they are originally provided using two XMLs schemas: METS for descriptive, structural, technical and administrative metadata (Title, Author, Publisher, etc); and ALTO for encoding the OCR text of a page. In this work, we have extracted the information from METS and ALTO XMLS using defoe tool. The KG uses the HTO to represent the information extracted. Furthermore, during the information extraction phase, we have employed several techniques to mitigate two common OCR errors: long-S and the line-break hyphenation.Yu, L., & Filgueira, R. (2024). Gazetteer_HTO: A Knowledge Graph for representing the Gazetteers of Scotland (1803-1901) following Heritage Textual Ontology [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1405167
Chapbooks_HTO: A Knowledge Graph for representing the "Chapbooks Printed In Scotland" (1671 - 1893) following the Heritage Textual Ontology
No full textThis Knowlege Graph represents the information of the "Chapbooks Printed In Scotland" (years: 1671 - 1893) collection in RDF (ttl format). This dataset comprises more than 3,000 chapbooks printed in Scotland from the 17th to 19th century. They form part of the Lauriston Castle Collection, which was bequeathed to the Library in 1926. It includes some 500 chapbook volumes containing around 5,500 individual items, more than half of which were printed in Scotland. The raw dataset is provided by the NLS in this link. As other NLS data collections, they are originally provided using two XMLs schemas: METS for descriptive, structural, technical and administrative metadata (Title, Author, Publisher, etc); and ALTO for encoding the OCR text of a page. The KG uses the HTO to represent the information extracted. Furthermore, during the information extraction phase, we have employed several techniques to mitigate two common OCR errors: long-S and the line-break hyphenation.Yu, L., & Filgueira, R. (2024). Chapbooks_HTO: A Knowledge Graph for representing the "Chapbooks Printed In Scotland" (1671 - 1893) following the Heritage Textual Ontology [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1405165
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Containerisation of NEMO Employing Singularity (CoNES) Assets
No full textWe have detailed a method to containerise the NEMO Ocean General Circulation Model in a Singularity Image Format (SIF) file. It provides a flexible approach for the user to run the application without prior knowledge of compiler software and machine architecture. The code that runs in the container is immutable and therefore maintains strict reproducibility required for scientific study. Another benefit of this approach is that development/testing of an ocean model configuration can be conducted on a local cluster before being transferred and scaled up onto the ARCHER2 system without the need to re-compile the code base. The SIF file is likened to packaged solution which accelerates the setup process, allowing the focus to be on the science. It may also be published alongside the scientific research to allow peers to reproduce or build upon it. This publication contains the assets used in the ARCHER2-eCSE02-13 Containerisation of NEMO Employing Singularity (CoNES) project.Harle, J., & Wood, C. (2023). Containerisation of NEMO Employing Singularity (CoNES) Assets (v1.0). Zenodo. https://doi.org/10.5281/zenodo.830551
EB_Geo_Annotated: Manual Location Annotated Dataset for Encyclopaedia Britannica Collection
No full textThis dataset consists of manual annotated locations in articles from Encyclopaedia Britannica. Each record includes a URI link to the article resource in frances platform, article name, article description, and identified locations.Yu, L., & Filgueira, R. (2025). EB_Geo_Annotated: Manual Location Annotated Dataset for Encyclopaedia Britannica Collection [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1552736
HTO-based Countries Knowledge Graph
No full textThis knowledge graph contains names and geo information (central coordinates, boundaries) of 252 countries. It is constructed based on the Heritage Textual Ontology model. The geo information are obtained from the Geonames free gazetteer data.Yu, L., & Filgueira, R. (2025). HTO-based Countries Knowledge Graph [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1536110
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