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:20241120T082408Z
LOCATION:HG F 30 Audi Max
DTSTART;TZID=Europe/Stockholm:20240603T120000
DTEND;TZID=Europe/Stockholm:20240603T123000
UID:submissions.pasc-conference.org_PASC24_sess140_msa307@linklings.com
SUMMARY:Dealing with Data in the Era of Heterogeneity
DESCRIPTION:Minisymposium\n\nGustavo Alonso (ETH Zurich)\n\nComputing plat
 forms are evolving rapidly along many dimensions: processors, specializati
 on, disaggregation, acceleration, smart memory and storage, etc. Many of t
 hese developments are being driven by data science but very few existing d
 ata processing platforms make use of modern hardware, which is crucial to 
 be able to process large amounts of data in an efficient manner. One reaso
 n for the gap is the deluge of possible configurations and deployment opti
 ons, most of them too new to have a precise idea of their performance impl
 ications and lacking proper support in the form of tools and platforms tha
 t can manage the underlying diversity. This growing heterogeneity opens up
  many opportunities but also raises significant challenges. In the talk I 
 will describe our efforts to explore the possibilities that modern hardwar
 e opens for data management and discuss a system we are building for data 
 processing on heterogeneous computing platforms that has as its main goal 
 to effectively cope with the great variety of emerging hardware.\n\nDomain
 : Chemistry and Materials, Climate, Weather, and Earth Sciences, Life Scie
 nces, Physics, Computational Methods and Applied Mathematics\n\nSession Ch
 air: Michela Taufer (University of Tennessee)
END:VEVENT
END:VCALENDAR