Zobrazeno 1 - 10
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pro vyhledávání: '"Budiu, Mihai"'
Incremental view maintenance has been for a long time a central problem in database theory. Many solutions have been proposed for restricted classes of database languages, such as the relational algebra, or Datalog. These techniques do not naturally
Externí odkaz:
http://arxiv.org/abs/2203.16684
Data exploration systems that provide differential privacy must manage a privacy budget that measures the amount of privacy lost across multiple queries. One effective strategy to manage the privacy budget is to compute a one-time private synopsis of
Externí odkaz:
http://arxiv.org/abs/2006.12018
Autor:
Budiu, Mihai, Gopalan, Parikshit, Suresh, Lalith, Wieder, Udi, Kruiger, Han, Aguilera, Marcos K.
Hillview is a distributed spreadsheet for browsing very large datasets that cannot be handled by a single machine. As a spreadsheet, Hillview provides a high degree of interactivity that permits data analysts to explore information quickly along many
Externí odkaz:
http://arxiv.org/abs/1907.04827
Akademický článek
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Autor:
Sivaraman, Anirudh, Budiu, Mihai, Cheung, Alvin, Kim, Changhoon, Licking, Steve, Varghese, George, Balakrishnan, Hari, Alizadeh, Mohammad, McKeown, Nick
Many algorithms for congestion control, scheduling, network measurement, active queue management, security, and load balancing require custom processing of packets as they traverse the data plane of a network switch. To run at line rate, these data-p
Externí odkaz:
http://arxiv.org/abs/1512.05023
Akademický článek
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Akademický článek
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Autor:
Goldstein, Seth C., Schmit, Herman, Moe, Matthew, Budiu, Mihai, Srihari Cadambi, R. Reed Taylor, Laufer, Ronald
Future computing workloads will emphasize an architecture's ability to perform relatively simple calculations on massive quantities of mixed-width data. This paper describes a novel reconfigurable fabric architecture, PipeRench, optimized to accelera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01869ef11c21b67db59a0f7e2282c687
With the proliferation of highly specialized embedded computer systems has come a diversification of workloads for computing devices. General-purpose processors are struggling to efficiently meet these applications' disparate needs, and custom hardwa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08892519dc89e4d8f051427377d0c30f
Autor:
Budiu, Mihai, Isaacs, Rebecca, Murray, Derek, Plotkin, Gordon, Barham, Paul, Al-Kiswany, Samer, Boshmaf, Yazan, Luo, Qingzhou, Andoni, Alexandr
Publikováno v:
Budiu, M, Isaacs, R, Murray, D, Plotkin, G, Barham, P, Al-Kiswany, S, Boshmaf, Y, Luo, Q & Andoni, A 2016, Interacting with Large Distributed Datasets using Sketch . in The 16th Eurographics Symposium on Parallel Graphics and Visualization (EGPGV 2016) . EGPGV: Eurographics Workshop on Parallel Graphics and Visualization, Groningen, Netherlands, 16th Eurographics Symposium on Parallel Graphics and Visualization, Groningen, Netherlands, 6/06/16 . https://doi.org/10.2312/pgv.20161180
We present Sketch, a library and a distributed runtime for building interactive tools for exploring large datasets, distributed across multiple machines. We have built several sophisticated applications using this framework; in this paper we describe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::726d918048b1fe77040f540c6fd72851
https://hdl.handle.net/20.500.11820/fce8cede-3298-4053-8498-fa2cc5fa9894
https://hdl.handle.net/20.500.11820/fce8cede-3298-4053-8498-fa2cc5fa9894