Zobrazeno 1 - 10
of 52
pro vyhledávání: '"O McMahon"'
Publikováno v:
International Journal of Obstetric Anesthesia. 54:103672
Autor:
S Galitzine, O McMahon
Publikováno v:
Invited speakers.
Publikováno v:
HPEC
Large-scale data analytics often represent vast amounts of sparse data as a graph. As a result, the underlying kernels in data analytics can be reduced down to operations over graphs, such as searches and traversals. Graph algorithms are notoriously
Akademický článek
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Publikováno v:
Irish medical journal. 112(5)
Aim The aim of this study is to outline the role of primary external ventricular drains (EVD) in the management of open myelomeningoceles in the neonatal setting in Ireland. Methods Retrospective cohort study involving all infants who underwent open
Publikováno v:
IEEE BigData
Sparse matrices are common place in modern computing and due to the rise of machine learning algorithms it has become apparent that sparse matrix operations play a large role in simulating and modeling systems. Following Amdahl’s and Moore’s Law,
Publikováno v:
HPEC
Large scale, data-intensive applications pose challenges to systems with a traditional memory hierarchy due to their unstructured data sources and irregular memory access patterns. In response, systems that employ migratory threads have been proposed
Publikováno v:
HPEC
We present an implementation of the Jaccard Index for graphs on the Migratory Memory-Side Processing Emu architecture. This index was designed to find similarities between different vertices in a graph, and is often used to identify communities. The
Autor:
Nazih Eldin, Patricia M. Heavey, A. McConnon, Cecily Kelleher, Catherine Hayes, U. O'dwyer, O. McMahon
Publikováno v:
Proceedings of the Nutrition Society. 72
The University of Southern California / Information Sciences Institute (USC/ISI) conducted exploratory studies to establish the need for and the value of innovative research on domain-specific architectures, applications, and tools based on the chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baf94dc2973865cee611879491f3b303
https://doi.org/10.21236/ada533801
https://doi.org/10.21236/ada533801