Zobrazeno 1 - 10
of 743
pro vyhledávání: '"P. KRASKA"'
Autor:
Yu, Geoffrey X., Wu, Ziniu, Kossmann, Ferdi, Li, Tianyu, Markakis, Markos, Ngom, Amadou, Madden, Samuel, Kraska, Tim
Modern organizations manage their data with a wide variety of specialized cloud database engines (e.g., Aurora, BigQuery, etc.). However, designing and managing such infrastructures is hard. Developers must consider many possible designs with non-obv
Externí odkaz:
http://arxiv.org/abs/2407.15363
Publikováno v:
Biologia Plantarum, Vol 64, Iss 1, Pp 701-709 (2020)
Water deficit is one of the main environmental factors, and the recognition of plant response to drought stress seems to be crucial for the yield improvement of the important crops. The aim of the study was to investigate the effect of prolonged drou
Externí odkaz:
https://doaj.org/article/a4c6a0e00423437a83ec48e746fb59c4
Autor:
Liu, Chunwei, Russo, Matthew, Cafarella, Michael, Cao, Lei, Chen, Peter Baille, Chen, Zui, Franklin, Michael, Kraska, Tim, Madden, Samuel, Vitagliano, Gerardo
A long-standing goal of data management systems has been to build systems which can compute quantitative insights over large corpora of unstructured data in a cost-effective manner. Until recently, it was difficult and expensive to extract facts from
Externí odkaz:
http://arxiv.org/abs/2405.14696
Retrieval-augmented generation (RAG) can enhance the generation quality of large language models (LLMs) by incorporating external token databases. However, retrievals from large databases can constitute a substantial portion of the overall generation
Externí odkaz:
http://arxiv.org/abs/2403.05676
Autor:
Wu, Ziniu, Marcus, Ryan, Liu, Zhengchun, Negi, Parimarjan, Nathan, Vikram, Pfeil, Pascal, Saxena, Gaurav, Rahman, Mohammad, Narayanaswamy, Balakrishnan, Kraska, Tim
Query performance (e.g., execution time) prediction is a critical component of modern DBMSes. As a pioneering cloud data warehouse, Amazon Redshift relies on an accurate execution time prediction for many downstream tasks, ranging from high-level opt
Externí odkaz:
http://arxiv.org/abs/2403.02286
Autor:
Kossmann, Ferdinand, Wu, Ziniu, Lai, Eugenie, Tatbul, Nesime, Cao, Lei, Kraska, Tim, Madden, Samuel
Publikováno v:
Proc. VLDB Endow. 16, 9 (May 2023), 2302-2315
Social media, self-driving cars, and traffic cameras produce video streams at large scales and cheap cost. However, storing and querying video at such scales is prohibitively expensive. We propose to treat large-scale video analytics as a data wareho
Externí odkaz:
http://arxiv.org/abs/2310.04830
Autor:
Chen, Zui, Cao, Lei, Madden, Sam, Kraska, Tim, Shang, Zeyuan, Fan, Ju, Tang, Nan, Gu, Zihui, Liu, Chunwei, Cafarella, Michael
Data curation tasks that prepare data for analytics are critical for turning data into actionable insights. However, due to the diverse requirements of applications in different domains, generic off-the-shelf tools are typically insufficient. As a re
Externí odkaz:
http://arxiv.org/abs/2310.00749
Autor:
P. Kraska, P. Oleszczuk, S. Andruszczak, E. Kwiecińska-Poppe, K. Różyło, E. Pałys, P. Gierasimiuk, Z. Michałojć
Publikováno v:
Plant, Soil and Environment, Vol 62, Iss 11, Pp 483-489 (2016)
From 2012 to 2014 a field experiment was conducted on a podzolic soil. The aim of the study was to evaluate the yield and weed infestation of winter rye canopy depending on three biochar rates (10, 20 and 30 t/ha). The biochar was pyrolyzed from whea
Externí odkaz:
https://doaj.org/article/57e4c38afa0349ca8830ae2bb479d0ee
Publikováno v:
Plant, Soil and Environment, Vol 61, Iss 6, Pp 247-252 (2015)
A field experiment was conducted on rendzina soil in the years 2010-2012. The seeds of two linseed cultivars (Szafir and Oliwin) were sown at row spacing of 15 cm and 25 cm. Three agrotechnical levels in different nitrogen doses and with or without a
Externí odkaz:
https://doaj.org/article/7dd9e637c27440cd835f9710ed638190
Autor:
Kristo, Ani, Kraska, Tim
External sorting is at the core of many operations in large-scale database systems, such as ordering and aggregation queries for large result sets, building indexes, sort-merge joins, duplicate removal, sharding, and record clustering. Unlike in-memo
Externí odkaz:
http://arxiv.org/abs/2305.05671