Success Stories

This chapter contains information about research enabled using the Alan Turing Institute’s Research Computing Service.

  • Mike Jackson, Rosa Filgueira and Anna Roubickova, “Analysing historical newspapers and books using Apache Spark and Cray Urika-GX”, EPCC blog, August 2019. A blog post on further explorations of 15th-19th century books data and 18th-early 20th century newspapers data using the Turing’s Cray Urika-GX service.
  • Mike Jackson, Rosa Filgueira and Anna Roubickova, “Analysing Historical Newspapers and Books Using Apache Spark and Cray Urika-GX”, Alan Turing Institute / EPCC, The University of Edinburgh, 16 August 2019 (PDF). A report on further explorations of 15th-19th century books data and 18th-early 20th century newspapers data using the Turing’s Cray Urika-GX service.
  • Rosa Filgueira, “Spark-based genome analysis on Cray-Urika and Cirrus clusters”, EPCC blog, 16 January 2019. A comparison of using Urika and Cirrus for analysis of cancer genomes.
  • Rosa Filgueira and Mike Jackson, “Analysing humanities data using Cray Urika-GX”, EPCC News 84, November 2018, p12-13.
  • Alessandra Cabassi and Junyang Wang, “High performance, large-scale regression”, October 2018. A summary of work conducted in the High performance, large-scale regression project, part of the Turing’s Summer Internship programme 2018, sponsored by Cray Inc, using a case study of flight arrivals and departures for all commercial flights within the USA, from October 1987 to April 2008, a dataset of over 120 million rows of data.
  • Rosa Filgueira, “Analysing humanities data using Cray Urika-GX”, EPCC blog, 11 October 2018. A blog post on exploring 15th-19th century books data and 18th-early 20th century newspapers data using the Turing’s Cray Urika-GX service.
  • Rosa Filgueira and Mike Jackson, “Analysing Humanities Data using Cray Urika-GX”, Alan Turing Institute / EPCC, The University of Edinburgh, 31 July 2018 (PDF). A report on exploring 15th-19th century books data and 18th-early 20th century newspapers data using the Turing’s Cray Urika-GX service.