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SUMMARY:Techniques for Scaling and Tuning Concurrent Systems
DTSTART:20160608T100000
DTEND:20160608T120000
DTSTAMP:20260406T153450Z
UID:ed1603e3b245a681d04d1bf8f302868062d5c62a7a6dfae7899095f7
CATEGORIES:Conferences - Seminars
DESCRIPTION:Oana Balmau\nEDIC Candidacy Exam\nExam President: Prof. Christ
 os Kozyrakis\nThesis Director: Prof. Willy Zwaenepoel\nThesis co-director:
  Prof. Rachid Guerraoui\nCo-examiner: Prof. Katerina Argyraki\nBackground 
 papers:GroupLens: applying collaborative filtering to Usenet news.ProteusT
 M: Abstraction Meets Performance in Transactional Memory.Scaling concurren
 t log-structured data storesAbstract\nTo process and benefit from the very
  large amount of data being generated\, it is appealing to leverage the pr
 evalence of commodity multicore machines. Tuning and scaling complex concu
 rrent algorithms and systems are challenging tasks\, which significantly h
 amper their wide adoption. In this proposal\, we discuss techniques for im
 proving the scalability of concurrent systems and automatically identifyin
 g good system configurations for given workloads.
LOCATION:BC 329 https://plan.epfl.ch/?room==BC%20329
STATUS:CONFIRMED
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