BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Artificial Intelligence & High Performance Computing Convergen
 ce\, Challenges\, and Opportunities
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260914T112500Z
UID:tag:localist.com\,2008:EventInstance_4515940
DTSTART:20190422T230000Z
DTEND:20190422T235000Z
DESCRIPTION:Vikram Saletore\, Principal Engineer\nArtificial Intelligence P
 roducts Group\nIntel Corp.\n\nAbstract\nDriven by an exponential increase 
 in the volume and diversity of data during the past 15 years\, we have obs
 erved Data Analytics (DA) and High Performance Computing (HPC) workloads s
 haring the same infrastructure. We are witnessing another convergence taki
 ng place of Artificial Intelligence (AI) and HPC due to the rapid developm
 ent and use of Deep Learning/Machine Learning frameworks and algorithms wi
 th scientific HPC applications. This convergence has begun to reshape the 
 landscape of scientific computing and is enabling scientists address large
  problems in ways that were not possible before. I will also present how t
 he software stacks are supported efficiently over a versatile general purp
 ose computing architecture minimizing data movement saving time\, energy\,
  and costs. I will also present some of the challenges and opportunities w
 ith use cases on multiple collaborations with customers in Compute Service
  Provider (SURFsara)\, High Energy Physics (CERN)\, Healthcare (Novartis\,
  Max Planck)\, and national research labs.\n\nSpeaker Bio\nVikram Saletore
 \, a Principal Engineer with Artificial Intelligence Products Group\, Inte
 l Corp\,  leads a team for Deep Learning solutions and performance with cu
 stomers. He collaborates with Enterprise/Government\, HPC\, & OEMs custome
 rs on Deep Learning Training and Inference. Vikram is also an Intel Parall
 el Computing Center Co-PI for deep learning research and collaboration wit
 h\; SURFsara\, CERN\, Max Planck\, & GENCI. Vikram has 25+ years of experi
 ence and delivered optimized software to Oracle & Informix parallel databa
 ses and worked on performance modeling for Intel CPU platforms and Data Ce
 nter Optane™ memory technical readiness. As a Research Scientist with In
 tel Labs he led collaboration with HP Labs\, Palo Alto on networking accel
 eration. Prior to Intel\, as a faculty in Computer Science at OSU\, Corval
 lis\, OR\, Vikram led NSF funded research in parallel and distributed comp
 uting supervising 8 students (1 PhD\, 7 MS). He also developed CPU and Net
 working products at DEC and AMD. Vikram received his MS from Berkeley & Ph
 D in EE in Parallel Computing from Univ. of Illinois at Urbana-Champaign. 
 He has published 50+ peer-reviewed publications and 40+ white papers\, and
  blogs and has multiple patents issued.
GEO:44.565762;-123.281717
LOCATION:Learning Innovation Center (LINC)\, 200
SUMMARY:Artificial Intelligence & High Performance Computing Convergence\, 
 Challenges\, and Opportunities
URL;VALUE=URI:https://events.oregonstate.edu/event/artificial_intelligence_
 high_performance_computing_convergence_challenges_and_opportunities
CATEGORIES:Lecture or Presentation
END:VEVENT
END:VCALENDAR