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pro vyhledávání: '"Chris Kennelly"'
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 10, p e29871 (2021)
BackgroundData science offers an unparalleled opportunity to identify new insights into many aspects of human life with recent advances in health care. Using data science in digital health raises significant challenges regarding data privacy, transpa
Externí odkaz:
https://doaj.org/article/5894027ecb6f46fea4c018cbc7b8df3d
Autor:
Sagar Karandikar, Dinesh Parimi, Jerry Zhao, Parthasarathy Ranganathan, Chris Kennelly, Chris Leary, Krste Asanovic, Borivoje Nikolic
Publikováno v:
MICRO
Serialization frameworks are a fundamental component of scale-out systems, but introduce significant compute overheads. However, they are amenable to acceleration with specialized hardware. To understand the trade-offs involved in architecting such a
Autor:
Xinliang David Li, Sam Likun Xi, Chris Kennelly, Guillaume Chatelet, Clement Courbet, Bruno de Backer, Ondrej Sykora
Publikováno v:
Proceedings of the 2021 ACM SIGPLAN International Symposium on Memory Management.
Memory manipulation primitives (memcpy, memset, memcmp) are used by virtually every application, from high performance computing to user interfaces. They often consume a significant portion of CPU cycles. Because they are so ubiquitous and critical,
Publikováno v:
Proceedings of the 2021 ACM SIGPLAN International Symposium on Memory Management.
Modern C++ server workloads rely on 2 MB huge pages to improve memory system performance via higher TLB hit rates. Huge pages have traditionally been supported at the kernel level, but recent work has shown that user-level, huge page-aware memory all
BACKGROUND Data science offers an unparalleled opportunity to identify new insights into many aspects of human life with recent advances in health care. Using data science in digital health raises significant challenges regarding data privacy, transp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bf2c4b8bb9853e6d78455e24b8c44c6
https://doi.org/10.2196/preprints.29871
https://doi.org/10.2196/preprints.29871