Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Hutchison, Dylan"'
Autor:
Hutchison, Dylan, Jones, Marieke K., Ghosal, Soutik, Lawton, Jack, Greene, Kirsten L., Rapp, David E.
Publikováno v:
In Urology August 2024 190:90-96
Autor:
Rapp, David E., Farhi, Jacques, DeNovio, Anthony, Barquin, David, Mallawaarachchi, Indika, Ratcliffe, Sarah J., Hutchison, Dylan, Greene, Kirsten L.
Publikováno v:
In Urology August 2023 178:54-60
Autor:
Hutchison, Dylan Michael
This paper provides a risk assessment of pertinent toxic contaminants in the tailings of the Iron King Mine using a model of aeolian transport fated in human alveolar lung. Here, we studied particulate matter of tailings that are 10 microns (𝜇𝑚
Externí odkaz:
http://hdl.handle.net/10150/621933
http://arizona.openrepository.com/arizona/handle/10150/621933
http://arizona.openrepository.com/arizona/handle/10150/621933
Autor:
Boehm, Matthias, Reinwald, Berthold, Hutchison, Dylan, Evfimievski, Alexandre V., Sen, Prithviraj
Many large-scale machine learning (ML) systems allow specifying custom ML algorithms by means of linear algebra programs, and then automatically generate efficient execution plans. In this context, optimization opportunities for fused operators---in
Externí odkaz:
http://arxiv.org/abs/1801.00829
Financial transactions, internet search, and data analysis are all placing increasing demands on databases. SQL, NoSQL, and NewSQL databases have been developed to meet these demands and each offers unique benefits. SQL, NoSQL, and NewSQL databases a
Externí odkaz:
http://arxiv.org/abs/1712.00802
Autor:
Hutchison, Dylan
Triangle counting is a key algorithm for large graph analysis. The Graphulo library provides a framework for implementing graph algorithms on the Apache Accumulo distributed database. In this work we adapt two algorithms for counting triangles, one t
Externí odkaz:
http://arxiv.org/abs/1709.01054
Autor:
Milechin, Lauren, Gadepally, Vijay, Samsi, Siddharth, Kepner, Jeremy, Chen, Alexander, Hutchison, Dylan
The D4M tool was developed to address many of today's data needs. This tool is used by hundreds of researchers to perform complex analytics on unstructured data. Over the past few years, the D4M toolbox has evolved to support connectivity with a vari
Externí odkaz:
http://arxiv.org/abs/1708.02934
Analytics tasks manipulate structured data with variants of relational algebra (RA) and quantitative data with variants of linear algebra (LA). The two computational models have overlapping expressiveness, motivating a common programming model that a
Externí odkaz:
http://arxiv.org/abs/1703.07342
Autor:
Milechin, Lauren, Chen, Alexander, Gadepally, Vijay, Hutchison, Dylan, Samsi, Siddharth, Kepner, Jeremy
The D4M tool is used by hundreds of researchers to perform complex analytics on unstructured data. Over the past few years, the D4M toolbox has evolved to support connectivity with a variety of database engines, graph analytics in the Apache Accumulo
Externí odkaz:
http://arxiv.org/abs/1702.03253
Graph algorithms have wide applicablity to a variety of domains and are often used on massive datasets. Recent standardization efforts such as the GraphBLAS specify a set of key computational kernels that hardware and software developers can adhere t
Externí odkaz:
http://arxiv.org/abs/1609.08642