<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/971D1799-3754-46E9-A99F-4B5F350A378D" ns1:id="971D1799-3754-46E9-A99F-4B5F350A378D"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/E2A7F888-CFFC-4A2F-83D6-F3E3CAF529AF" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/A832A302-BB1C-4007-96DC-684654263749" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/A832A302-BB1C-4007-96DC-684654263749" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2014-11-30T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/B97E4151-3E03-4BA4-AB79-D8F227EBD88C" ns1:rel="FUND" ns1:start="2014-07-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">131653</ns2:identifier></ns2:identifiers><ns2:title>Collaborative, web-enabled remote visualisation and analysis of in-situ, large HPC data</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Feasibility Studies</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>An investigation of current 3D graphics technologies, data handling algorithms and rendering infrastructure is proposed, to enable remote visualisation of very large datasets from supercomputers.</ns2:abstractText></ns2:project>