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:20191206T142453Z
LOCATION:Substanz 1\, 2
DTSTART;TZID=Europe/Stockholm:20180626T083000
DTEND;TZID=Europe/Stockholm:20180626T100000
UID:isc_hpc_ISC High Performance 2018_sess113_post105@linklings.com
SUMMARY:(RP05) Multicore Platform Efficiency Across Remote Sensing Applica
 tions
DESCRIPTION:Research Poster\n\n(RP05) Multicore Platform Efficiency Across
  Remote Sensing Applications\n\nTyutlyaeva, Moskovsky, Odintsov, Konyukhov
 , Poyda...\n\nA wide range of modern system architectures and platforms ta
 rgeted for different algorithms and application areas is now available. \n
 Even general-purpose systems have advantages in some computation areas and
  bottlenecks in another. Scientific applications on specific areas, on the
  other hand, have different requirements for CPU performance, scalability 
 and power consumption.\nThe best practice now is algorithm/architecture co
 -exploration approach, where scientific problem requirements influence the
  hardware configuration; on the other hand, algorithm implementation is re
 -factored and optimized in accordance with the platform architectural feat
 ures.\nIn this research, two typical modules used for multispectral nightt
 ime satellite image processing are studied:\n•	measurement of local percei
 ved sharpness in visible band using Fourier transform;\n•	cross-correlatio
 n in moving window between visible and infrared bands.\nBoth modules are o
 ptimized and studied on wide range of up-to-date testbeds, based on differ
 ent architectures. Our testbeds include computational nodes based on Intel
 ® Xeon® E5-2697A v4, Intel® Xeon® Gold 6148, Intel® Xeon Phi®, Texas Instr
 uments Sitara AM5728 dual-core ARM Cortex-A15, and NVIDIA® JETSON™ TX2. \n
 The study includes performance testing and energy consumption measurements
 . The results achieved can be used for assessing serviceability for multis
 pectral nighttime satellite image processing by two key parameters: execut
 ion time and energy consumption.\n\nPasses: Conference Pass, Energy consum
 ption, Performance Analysis and Optimization\n\nTag: Conference Pass, Ener
 gy consumption, Performance Analysis and Optimization
URL:https://2018.isc-program.com/presentation/?id=post105&sess=sess113
END:VEVENT
END:VCALENDAR