Zobrazeno 1 - 10
of 24
pro vyhledávání: '"LeFevre Jeff"'
Autor:
Chu Xiaowei Aaron, LeFevre Jeff, Montana Aldrin, Robinson Dana, Koziol Quincey, Alvaro Peter, Maltzahn Carlos
Publikováno v:
EPJ Web of Conferences, Vol 245, p 04037 (2020)
Access libraries such as ROOT[1] and HDF5[2] allow users to interact with datasets using high level abstractions, like coordinate systems and associated slicing operations. Unfortunately, the implementations of access libraries are based on outdated
Externí odkaz:
https://doaj.org/article/6aaca476bbc74afdb247e56aad7747df
Autor:
Montana, Aldrin, Xue, Yuanqing, LeFevre, Jeff, Maltzahn, Carlos, Stuart, Josh, Kufeldt, Philip, Alvaro, Peter
Over the years, hardware trends have introduced various heterogeneous compute units while also bringing network and storage bandwidths within an order of magnitude of memory subsystems. In response, developers have used increasingly exotic solutions
Externí odkaz:
http://arxiv.org/abs/2212.11459
Autor:
Chakraborty, Jayjeet, Jimenez, Ivo, Rodriguez, Sebastiaan Alvarez, Uta, Alexandru, LeFevre, Jeff, Maltzahn, Carlos
With the ever-increasing dataset sizes, several file formats such as Parquet, ORC, and Avro have been developed to store data efficiently, save the network, and interconnect bandwidth at the price of additional CPU utilization. However, with the adve
Externí odkaz:
http://arxiv.org/abs/2204.06074
Autor:
Rodriguez, Sebastiaan Alvarez, Chakraborty, Jayjeet, Chu, Aaron, Jimenez, Ivo, LeFevre, Jeff, Maltzahn, Carlos, Uta, Alexandru
Distributed data processing ecosystems are widespread and their components are highly specialized, such that efficient interoperability is urgent. Recently, Apache Arrow was chosen by the community to serve as a format mediator, providing efficient i
Externí odkaz:
http://arxiv.org/abs/2106.13020
Autor:
Chakraborty, Jayjeet, Jimenez, Ivo, Rodriguez, Sebastiaan Alvarez, Uta, Alexandru, LeFevre, Jeff, Maltzahn, Carlos
With the ever-increasing dataset sizes, several file formats like Parquet, ORC, and Avro have been developed to store data efficiently and to save network and interconnect bandwidth at the price of additional CPU utilization. However, with the advent
Externí odkaz:
http://arxiv.org/abs/2105.09894
The incubator and research projects sponsored by the Center for Research in Open Source Software (CROSS, cross.ucsc.edu) at UC Santa Cruz have been very effective at promoting the professional and technical development of research software engineers.
Externí odkaz:
http://arxiv.org/abs/2012.01144
Autor:
Xiaowei, Chu, LeFevre, Jeff, Montana, Aldrin, Robinson, Dana, Koziol, Quincey, Alvaro, Peter, Maltzahn, Carlos
Publikováno v:
In 24th International Conference on Computing in High Energy & Nuclear Physics, Adelaide, Australia, November 4-8 2019
Access libraries such as ROOT and HDF5 allow users to interact with datasets using high level abstractions, like coordinate systems and associated slicing operations. Unfortunately, the implementations of access libraries are based on outdated assump
Externí odkaz:
http://arxiv.org/abs/2007.01789
Autor:
LeFevre, Jeff, Sankaranarayanan, Jagan, Hacigumus, Hakan, Tatemura, Junichi, Polyzotis, Neoklis
Publikováno v:
DanaC: Workshop on Data analytics in the Cloud, June 2013, New York, NY
Emerging data analysis involves the ingestion and exploration of new data sets, application of complex functions, and frequent query revisions based on observing prior query answers. We call this new type of analysis evolutionary analytics and identi
Externí odkaz:
http://arxiv.org/abs/1304.1838
Autor:
LeFevre, Jeff, Sankaranarayanan, Jagan, Hacigumus, Hakan, Tatemura, Junichi, Polyzotis, Neoklis, Carey, Michael J.
Large-scale systems, such as MapReduce and Hadoop, perform aggressive materialization of intermediate job results in order to support fault tolerance. When jobs correspond to exploratory queries submitted by data analysts, these materializations yiel
Externí odkaz:
http://arxiv.org/abs/1303.6609
Autor:
Doglioni, C., Kim, D., Stewart, G.A., Silvestris, L., Jackson, P., Kamleh, W., Chu, Xiaowei Aaron, LeFevre, Jeff, Montana, Aldrin, Robinson, Dana, Koziol, Quincey, Alvaro, Peter, Maltzahn, Carlos
Publikováno v:
EPJ Web of Conferences; 11/16/2020, Vol. 245, p1-9, 9p