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SUMMARY:Cloud-native data systems for the post-Moore era - Jana Giceva\, T
 U Munich
DTSTART:20211028T140000Z
DTEND:20211028T150000Z
UID:TALK163267@talks.cam.ac.uk
CONTACT:Srinivasan Keshav
DESCRIPTION:Cloud-native data systems today need to address a number of pr
 essing challenges: from handling massive amounts of data using different c
 loud form factors\, to efficiently managing a pool of dis-aggregated hardw
 are resources. This is a non-trivial undertaking\, especially in the post-
 Moore era of increased hardware heterogeneity that opens the potential to 
 offload compute closer to data (e.g.\, storage) or push operations down to
  where the data moves (e.g.\, on the network cards or switches). While thi
 s opens a number of exciting opportunities\, it is not clear on what the b
 est way forward is to absorb the increased complexity.\n\nIn my talk\, I a
 rgue that addressing such a range of challenges\, requires an effort that 
 is beyond what can be typically done within a single layer of the system s
 tack. My proposal calls for a holistic approach that opens up the data sys
 tem interfaces\, embraces the synergy with compilers\, and revisits the un
 derlying system support for modern data workloads in virtualized environme
 nts.\n\nBio:\nJana Giceva conducts research in the areas of data managemen
 t and computer systems. Her research interests are in systems support for 
 data science and big data to enable efficient use of modern and future har
 dware. Prof. Giceva's research spans across multiple system sub-fields: da
 ta processing layer\, operating systems\, and hardware accelerators for da
 ta processing.\n\nProf. Giceva got her Ph.D. in Computer Science from ETH 
 Zurich in 2017. From 2017 to 2019 she was a Lecturer (Assistant Professor)
  in the Department of Computing at Imperial College London. She also held 
 roles at Microsoft Research and Oracle Labs during her doctoral studies. S
 he has been a professor for Database Systems at TUM since 2020.\n\n
LOCATION:FW11 and https://cl-cam-ac-uk.zoom.us/j/97216272378?pwd=M2diTFhMT
 nppckJtNWhFVTBKK0REZz09
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