<?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/719B1D11-5AB1-4B0A-995D-2E22E8421037" ns1:id="719B1D11-5AB1-4B0A-995D-2E22E8421037"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/6757DCBD-3A34-456A-953D-DF593C49F977" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/6757DCBD-3A34-456A-953D-DF593C49F977" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2013-08-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/21B543C1-6E6C-49A4-97E2-61EC69A1BA8D" ns1:rel="FUND" ns1:start="2011-02-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">507861</ns2:identifier></ns2:identifiers><ns2:title>University of Portsmouth And Xyratex Technology Limited</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To design and implement intelligent diagnostic software to predict fault patterns in high performance computers used in complex storage networks. To develop rectification algorithms reactive to the Diagnose output and optimise the solution and integrate into Xyratex software platform.</ns2:abstractText></ns2:project>