Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Herbert Jordan"'
Autor:
Herbert, Jordan N.1 (AUTHOR) jordan.herbert@colorado.edu, Raleigh, Mark S.2 (AUTHOR), Small, Eric E.1 (AUTHOR)
Publikováno v:
Cryosphere. 2024, Vol. 18 Issue 8, p3495-3512. 18p.
Publikováno v:
EGUsphere; 11/20/2023, p1-27, 27p
Autor:
Herbert Jordan, Thomas Fahringer, Alexander Hirsch, Peter Thoman, Peter Zangerl, Philipp Gschwandtner
Publikováno v:
Journal of Parallel and Distributed Computing. 155:50-62
Teaching parallel programming and HPC is a difficult task. There is a large number of sophisticated hardware and software components, each complex on their own and often showing non-intuitive interaction when used in combination. We consider educatio
Publikováno v:
COMPUTING AND INFORMATICS; Vol. 39 No. 4 (2020): Computing and Informatics; 808–837
Effectively implementing scientific algorithms in distributed memory parallel applications is a difficult task for domain scientists, as evident by the large number of domain-specific languages and libraries available today attempting to facilitate t
Publikováno v:
PLDI
Datalog is becoming increasingly popular as a standard tool for a variety of use cases. Modern Datalog engines can achieve high performance by specializing data structures for relational operations. For example, the Datalog engine Souffle achieves hi
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Publikováno v:
eScience
Effectively implementing scientific algorithms in distributed memory parallel applications is a difficult task for domain scientists, as evident by the large number of domain-specific languages and libraries available today attempting to facilitate t
Publikováno v:
PMAM@PPoPP
Modern Datalog engines are employed in industrial applications such as graph databases, networks, and static program analysis. To cope with the vast amount of data in these applications, Datalog engines must employ specialized parallel data structure
Publikováno v:
PPoPP
Modern Datalog engines are employed in industrial applications such as graph-databases, networks, and static program analysis. To cope with vast amount of data, Datalog engines must employ parallel execution strategies, for which specialized concurre
Autor:
Thomas Heller, Thomas Fahringer, Xavier Aguilar, Erwin Laure, Herbert Jordan, Alexander Hirsch
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030227333
ICCS (1)
ICCS (1)
The expected high levels of parallelism together with the heterogeneity and complexity of new computing systems pose many challenges to current software. New programming approaches and runtime systems that can simplify the development of parallel app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7038fc08c516402d35da30617e1f31cd
https://doi.org/10.1007/978-3-030-22734-0_18
https://doi.org/10.1007/978-3-030-22734-0_18