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IBM Big Data Projects with Ontario Universities. July 16, 2014. 0. Status: 25 running/initiated, 13 scheduled 3Q, 2 Q114, 2 TBD*. * 2 projects deferred pending Sustainability plan + resources ** 1 project on hold pending UofT/UHN/IBM IP agreement. 1. HEALTH. 2. ENERGY. 3. WATER. 4.
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IBM Big Data Projectswith Ontario Universities July 16, 2014 0
Status: 25 running/initiated, 13 scheduled 3Q, 2 Q114, 2 TBD* * 2 projects deferred pending Sustainability plan + resources ** 1 project on hold pending UofT/UHN/IBM IP agreement 1
HEALTH 2
ENERGY 3
WATER 4
CITIES 5
AGILE 6
SME Lead 7
IBM Lead 8
Lime FPGAs and Big Data Dimensions of Parallelism • Direct data injest • Network • Storage Pipeline Parallelism I/O attachment, or Coherent attachment via CAPI Multiple pipelines to Host CPU Multiple kernels/functions Performance Enabling Technologies ~2× POWER8 CAPI
Real-time fMRI Brain Analytics Mark Daley, Western University (London, ON) • The problem: brain activity scans take days to analyze • The solution: a real-time analytics engine FPGA replaces 48 x86 cores and implements superior motion correction algorithm IBM InfoSphere Streams on Power 7 constructs graphs of brain networks 40x faster than single process on x86 Graph updates every 0.6-0.8s Planning replacement of CPU-based graph analytics with Power 8 and CAPI-attached FPGA accelerator Results in seconds instead of days!