Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shoumik Palkar"'
Autor:
Alexander Behm, Shoumik Palkar, Utkarsh Agarwal, Timothy Armstrong, David Cashman, Ankur Dave, Todd Greenstein, Shant Hovsepian, Ryan Johnson, Arvind Sai Krishnan, Paul Leventis, Ala Luszczak, Prashanth Menon, Mostafa Mokhtar, Gene Pang, Sameer Paranjpye, Greg Rahn, Bart Samwel, Tom van Bussel, Herman van Hovell, Maryann Xue, Reynold Xin, Matei Zaharia
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Publikováno v:
Proceedings of the VLDB Endowment. 13:2833-2836
Systems for ML inference are widely deployed today, but they typically optimize ML inference workloads using techniques designed for conventional data serving workloads and miss critical opportunities to leverage the statistical nature of ML. In this
Publikováno v:
Proceedings of the VLDB Endowment. 11:1576-1589
Exploratory big data applications often run on raw unstructured or semi-structured data formats, such as JSON files or text logs. These applications can spend 80--90% of their execution time parsing the data. In this paper, we propose a new approach
Autor:
Samuel Madden, Rahul Palamuttam, James J. Thomas, Deepak Narayanan, Matei Zaharia, Anil Shanbhag, Malte Schwarzkopf, Parimajan Negi, Shoumik Palkar, Pratiksha Thaker, Holger Pirk, Saman Amarasinghe
Modern analytics applications use a diverse mix of libraries and functions. Unfortunately, there is no optimization across these libraries, resulting in performance penalties as high as an order of magnitude in many applications. To address this prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63ee6ffc3017fb75554bb2e3cb2d7851
http://hdl.handle.net/10044/1/71236
http://hdl.handle.net/10044/1/71236
Autor:
Matei Zaharia, Shoumik Palkar
Publikováno v:
SOSP
Data movement between main memory and the CPU is a major bottleneck in parallel data-intensive applications. In response, researchers have proposed using compilers and intermediate representations (IRs) that apply optimizations such as loop fusion un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::620bef01c26e12cf9dc9769e9c788045
Autor:
Matei Zaharia, Shoumik Palkar
Publikováno v:
HotNets
Web users today rely on centralized services for applications such as email, file transfer and chat. Unfortunately, these services create a significant privacy risk: even with a benevolent provider, a single breach can put millions of users' data at
Autor:
Luigi Rizzo, Scott Shenker, Chang Lan, Keon Jang, Sylvia Ratnasamy, Sangjin Han, Shoumik Palkar, Aurojit Panda
Publikováno v:
SOSP
By moving network appliance functionality from proprietary hardware to software, Network Function Virtualization promises to bring the advantages of cloud computing to network packet processing. However, the evolution of cloud computing (particularly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::505d553e8d46e42d6f26f51632401012
http://hdl.handle.net/11568/762018
http://hdl.handle.net/11568/762018