Upcoming processors are combining different computing units in a tightly-coupled approach using a unified shared memory hierarchy. This tightly-coupled combination leads to novel properties with regard to cooperation and interaction. This paper demonstrates the advantages of those processors for a stream-join operator as an important data-intensive example. In detail, we propose our HELLS-Join approach employing all heterogeneous devices by outsourcing parts of the algorithm on the appropriate device. Our HELLS-Join performs better than CPU stream joins, allowing wider time windows, higher stream frequencies, and more streams to be joined as before.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:80666 |
| Date | 19 September 2022 |
| Creators | Karnagel, Tomas, Habich, Dirk, Schlegel, Benjamin, Lehner, Wolfgang |
| Publisher | ACM |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/acceptedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 978-1-4503-2196-9, 2, 10.1145/2485278.2485280, info:eu-repo/grantAgreement/Deutsche Forschungsgemeinschaft/Exzellenzcluster/194636624//Zentrum für Perspektiven in der Elektronik Dresden/cfaed |
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