1 / 13

IBM Big Data Projects with Ontario Universities

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.

yosef
Télécharger la présentation

IBM Big Data Projects with Ontario Universities

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. IBM Big Data Projectswith Ontario Universities July 16, 2014 0

  2. 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

  3. HEALTH 2

  4. ENERGY 3

  5. WATER 4

  6. CITIES 5

  7. AGILE 6

  8. SME Lead 7

  9. IBM Lead 8

  10. NEW PROJECTS

  11. NEWEST PROJECTS

  12. 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

  13. 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!

More Related