BEGIN:VCALENDAR
VERSION:2.0
PRODID:www.dresden-science-calendar.de
METHOD:PUBLISH
CALSCALE:GREGORIAN
X-MICROSOFT-CALSCALE:GREGORIAN
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
DTSTART:19810329T030000
RRULE:FREQ=YEARLY;INTERVAL=1;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
DTSTART:19961027T030000
RRULE:FREQ=YEARLY;INTERVAL=1;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:DSC-13926
DTSTART;TZID=Europe/Berlin:20180130T130000
SEQUENCE:1516188532
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20180130T140000
URL:https://dresden-science-calendar.de/calendar/de/detail/13926
LOCATION:TUD Andreas-Pfitzmann-Bau\, Nöthnitzer Straße 4601069 Dresden
SUMMARY:Göhringer:  Self-Adaptive Multiprocessor Systems-on-Chip for Cyber
 -Physical Systems
CLASS:PUBLIC
DESCRIPTION:Speaker: Prof. Dr.-Ing. Diana Göhringer\nInstitute of Speaker:
  Chair of Adaptive Dynamic Systems | TU Dresden\nTopics:\nPhysik\, Informa
 tik\, Elektro- u. Informationstechnik\n Location:\n  Name: TUD Andreas-Pfi
 tzmann-Bau (APB 2026)\n  Street: Nöthnitzer Straße 46\n  City: 01069 Dre
 sden\n  Phone: \n  Fax: \nDescription: The increasing complexity and adapt
 ive dynamic behavior of cyber-physical systems\, such as advanced driver a
 ssistance systems (ADAS) or service robotics\, require novel embedded hard
 ware/software solutions. Especially\, the dynamic behavior at runtime need
 s an approach providing adaptation to changing demands in terms of real‐
 time requirements\, data throughput\, safety and security. One representat
 ive example can be found in robotic systems\, where changing situations ar
 e handled with image processing algorithms for object detection and tracki
 ng. Here\, the changing situations would recommend besides the change of t
 he algorithm also a change in the hardware architecture\, e.g. the adaptat
 ion of accelerators for specific algorithms.  The complexity and the high 
 demand for real‐time and energy efficient computation of such adaptive d
 ynamic systems can only be solved with parallel and runtime adaptive hardw
 are/software solutions and optimized design‐ and programming tools. Trad
 itional embedded multicore systems can only handle a task migration from c
 ore to core in order to balance the workload of an individual processor. H
 owever\, only migrating software is not sufficient to find the optimal poi
 nt of operation. Changes of the processor architecture and certainly the c
 ommunication infrastructure between cores would be highly beneficial. This
  feature can be provided by heterogeneous self-adaptive multiprocessor sys
 tems-on-chip (MPSoCs)\, where each component can be adapted according to a
 pplication demands.  This presentation shows concepts and realizations for
  such a modern approach including a novel computer architecture\, a simula
 tion environment\, the design/programming methods and the runtime manageme
 nt. The importance of such a novel hardware/software solution is shown wit
 h several research projects in the automotive and robotics domain.
DTSTAMP:20260424T010414Z
CREATED:20171221T084439Z
LAST-MODIFIED:20180117T112852Z
END:VEVENT
END:VCALENDAR