BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20191206T142523Z
LOCATION:Panorama 2
DTSTART;TZID=Europe/Stockholm:20180626T083000
DTEND;TZID=Europe/Stockholm:20180626T100000
UID:isc_hpc_ISC High Performance 2018_sess118@linklings.com
SUMMARY:Pushing Digital Computing to the Limits
DESCRIPTION:Focus Session\n\n“Every few years there is a university resear
 ch project that thinks they are about to overturn the tried-and-true archi
 tecture that John von Neumann and Alan Turing would recognize — and unicor
 ns will dance and butterflies will sing.”  -- so the well known consultant
  and founder of “Silicon Insider” Jim Turley.  And so he sees the classic 
 architectures going on with with classic CMOS-technology  in somewhat smal
 ler structures  -- but much slower than before,  may be with only 10 perce
 nt more performance in five years. Will that be enough for the new challen
 ges? Challenges like deep learning where  the classic  digital architectur
 es will  face new  competition : quantum, neuromorphic … and even analog c
 omputing.\n\nMore and more we see limits in the digital space, especially 
 with the usual CMOS technology. 7 nm CMOS, maybe 5 nm  but then? Old laws,
  rules  and scalings  like the well known  from Moore or Dennard are not v
 alid any more (or have to be very much re-interpreted).  The performance o
 f sequential  computing (i.e. single thread) has hardly increased during  
 the last 10 years, IPC – Instructions per Cycle stuck at about 5 instructi
 ons  per cycle.\nSo where are the  really new  ideas for digital computing
  in the future?  What  have the big companies Intel, IBM, ARM, AMD, Nvidia
 , NEC,  ShenWei   … on their roadmap and in their quivers? New ideas not o
 nly in manufacturing but  in the principal architecture?\n\nIt seems that 
 Intel  as one of the biggest players in the scene has for  the general pur
 pose  CPUs only  a non earthquaking looking roadmap  for the next years: C
 annon Lake, Ice Lake, Tiger lake, Any Lake … But  Intel bought a lot of in
 novative companies and patents with not yet seen ideas like Transmeta’s tr
 anslation technique or Softmachine’s VISC  ( a kind of reverse Hyper-Threa
 ding to work with several cores at one thread). NVidia is looking for comp
 lety new memory architectures, NEC is re-establishing the idea of vector c
 omputing. And what can we expect with reconfigurable hardware (FPGAs)?\n\n
 In this session we will give four representatives  of the main current arc
 hitecture lines -- CPU, GPU, Vector Processors and FPGA , four architects 
 and not from marketing, the chance – not to praise their, current products
  -- but  to give us a clue about what innovations we can expect  in the ne
 xt 5 to 10 years.+.\n\nThe Future of Vector Processing\n\nFischer\n\nNow t
 hat LSI-developments are no longer following Moore’s law, new generations 
 of CPUs do no longer provide for the necessary application-speedup, which 
 science and engineering require for their ambitious plans. Consequently, a
 nd as predicted since quite some time, this will result in a competition .
 ..\n\n---------------------\nFuture-Proof: GPU-Accelerated Computing Beyon
 d Moore’s Law\n\nOberlin\n\nDespite the demise of Dennard scaling and Moor
 e’s Law, NVIDIA’s Tesla GPU-accelerated computing platform has continued t
 o increase performance and efficiency generation after generation virtuall
 y unabated.  This talk will explain why this has been possible, how Moore’
 s Law fade resistance is conferr...\n\n---------------------\nAdaptable Co
 mpute Acceleration for Future Workloads\n\nBolsens\n\nTo meet the ever-inc
 reasing computing needs, especially driven by the emerging application of 
 Machine Learning in several fields, the computing industry has entered an 
 era of parallelization, in which tens of thousands of compute servers are 
 connected in warehouse-scale data centers. As the merits o...\n\n---------
 ------------\nTechnology Challenges and Trends over the next Decade (A Loo
 k through a 2030 Crystal Ball)\n\nGara\n\nto be announced\n\n\nPasses: Con
 ference Pass, Computer Architecture, HPC Accelerators, Post Moore’s Law Co
 mputing\n\nTag: Conference Pass, Computer Architecture, HPC Accelerators, 
 Post Moore’s Law Computing
END:VEVENT
END:VCALENDAR

