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X-LIC-LOCATION:America/Chicago
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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20260522T150125Z
LOCATION:D167/174
DTSTART;TZID=America/Chicago:20181111T114000
DTEND;TZID=America/Chicago:20181111T120500
UID:submissions.supercomputing.org_SC18_sess170_pec430@linklings.com
SUMMARY:Accelerating Intelligence
DESCRIPTION:John Davis (Bigstream Networks)\n\nMassive amounts of data are
  being consumed and processed to drive business. The exponential increase 
 in data has not been matched by the computational power of processors. Thi
 s has led to the rise of accelerators. However, big data algorithms for ET
 L, ML, AI, and DL are evolving rapidly and/or have significant diversity. 
 These moving targets are poor candidates for ASICs, but match the capabili
 ties and flexibility of FPGAs. Furthermore, FPGAs provide a platform to mo
 ve computation to the data, away from the CPU, by providing computation at
  line rate at the network and/or storage. Bigstream is bridging the gap be
 tween high-level big data frameworks and accelerators using our Hyper-acce
 leration Layer built on top of SDAccel. In this talk, we will describe the
  Bigstream Hyper-acceleration that automatically provides computational ac
 celeration, by the CPU, storage, or network, for big data platforms with z
 ero code change.\n\nTag: Accelerators, Heterogeneous Systems, NVRAM\n\nReg
 istration Category: Workshop Reg Pass\n\n
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