Enhancing Muesli's Data Parallel Skeletons for Multi-Core Computer Architectures

Ciechanowicz Philipp, Kuchen Herbert


Zusammenfassung
Algorithmic skeletons encapsulate typical parallel programming patterns such that they can be easily applied by users. Existing skeleton libraries usually work on distributed memory machines. We present an extension of our skeleton library Muesli which now allows to use the same application without modifications on a variety of parallel machines ranging from multi-processor distributed memory to many-core shared memory machines and combinations of those such as clusters of multi-core nodes. Internally, the skeletons are based on MPI and Open MP. We demonstrate the efficiency of our approach by providing experimental results.

Schlüsselwörter
algorithmic skeletons, parallel programming, multi-core architectures, OPenMP



Publikationstyp
Aufsatz (Konferenz)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2010

Konferenz
12th IEEE International Conference on High Performance Computing and Communications (HPCC-2010)

Konferenzort
Melbourne, Australia

Buchtitel
12th IEEE International Conference on High Performance Computing and Communications

Erste Seite
108

Letzte Seite
113

Seiten
108-113

Verlag
IEEE

Sprache
Englisch

DOI

Gesamter Text