Svilen Kanev

Svilen Kanev

Svilen Kanev is an engineer at Google, working on translating datacenter performance analysis insights into performance and TCO gains. He is broadly interested in anything that straddles the hardware-software interface. In a prior life, he got a B.A. and a Ph.D. from Harvard at 2012 and 2016. During that time, he published a few papers, wrote an x86 simulator, and did too many internships to keep track of at Google, Microsoft Research and Intel VSSAD.
Authored Publications
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    Google
Characterizing a Memory Allocator at Warehouse Scale
Zhuangzhuang Zhou
Nilay Vaish
Patrick Xia
Christina Delimitrou
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3, Association for Computing Machinery, La Jolla, CA, USA (2024), 192–206
CDPU: Co-designing Compression and Decompression Processing Units for Hyperscale Systems
Ani Udipi
JunSun Choi
Joonho Whangbo
Jerry Zhao
Edwin Lim
Vrishab Madduri
Yakun Sophia Shao
Borivoje Nikolic
Krste Asanovic
Proceedings of the 50th Annual International Symposium on Computer Architecture, Association for Computing Machinery, New York, NY, USA (2023)
EMISSARY: Enhanced Miss Awareness Replacement Policy for L2 Instruction Caching
Nayana Prasad Nagendra
Bhargav Reddy Godala
Ishita Chaturvedi
Atmn Patel
Jared Stark
Gilles A. Pokam
Simone Campanoni
David I. August
Proceedings of the 50th Annual International Symposium on Computer Architecture (ISCA) (2023)
Retrospective: Profiling a warehouse-scale computer
Juan Pablo Darago
Kim Hazelwood
Gu-Yeon Wei
David Brooks
International Symposium on Computer Architecture (ISCA) (2023)
AsmDB: Understanding and Mitigating Front-End Stalls in Warehouse-Scale Computers
Nayana Prasad Nagendra
David I. August
Hyoun Kyu Cho
Christos Kozyrakis
Trivikram Krishnamurthy
Heiner Litz
International Symposium on Computer Architecture (ISCA) (2019)
Profiling a warehouse-scale computer
Juan Darago
Kim Hazelwood
Gu-Yeon Wei
David Brooks
ISCA '15 Proceedings of the 42nd Annual International Symposium on Computer Architecture, ACM (2014), pp. 158-169