A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Filters
High-Performance Graph Algorithms (Dagstuhl Seminar 18241)
2018
Dagstuhl Reports
This report documents the program and outcomes of Dagstuhl Seminar 18241 "High-performance Graph Algorithms". ...
The abstracts included in this report contain and survey recent state-of-the-art results, but also point to promising new directions for high-performance graph algorithms and their applications, both from ...
IEEE
High Performance Extreme Computing Conference, HPEC 2017, Waltham, MA, USA, September
12-14, 2017, pp. 1-6, IEEE, 2017. ...
doi:10.4230/dagrep.8.6.19
dblp:journals/dagstuhl-reports/MeyerhenkePS18
fatcat:nbodjldinjgq7eahxl6obpaqie
Big Data Workflows: Locality-Aware Orchestration Using Software Containers
2021
Sensors
The emergence of the edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. ...
Therefore, data processing solutions must consider data locality to reduce the performance penalties from data transfers among remote data centres. ...
In Proceedings of the IEEE High Performance Extreme Computing Conference (HPEC 2017), Waltham, MA,
USA, 12–14 September 2017; pp. 1–7. [CrossRef]
23. Sill, A. ...
doi:10.3390/s21248212
pmid:34960302
pmcid:PMC8706844
fatcat:3nc2j4pvdfdynn573zzq7ympca