Data processing on a continuously growing amount of information and the increasing power restrictions have become an ubiquitous challenge in our world today. Besides parallel computing, a promising approach to improve the energy efficiency of current systems is to integrate specialized hardware. This paper presents a Tensilica RISC processor extended with an instruction set to accelerate basic database operators frequently used in modern database systems. The core was taped out in a 28 nm SLP CMOS technology and allows energy-efficient query processing as well as query optimization by applying selectivity estimation techniques. Our chip measurements show an 1000x energy improvement on selected database operators compared to state-of-the-art systems.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:82113 |
| Date | 12 January 2023 |
| Creators | Lehner, Wolfgang, Haas, Sebastian, Arnold, Oliver, Scholze, Stefan, Höppner, Sebastian, Ellguth, Georg, Dixius, Andreas, Ungethüm, Annett, Mier, Eric, Nöthen, Benedikt, Matúš, Emil, Schiefer, Stefan, Cederstroem, Love, Pilz, Fabian, Mayr, Christian, Schüffny, Renè, Fettweis, Gerhard P. |
| Publisher | IEEE |
| 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 | 978-1-5090-1095-0, 10.1109/NORCHIP.2016.7792904, info:eu-repo/grantAgreement/European Commission/FP7 | SP1 | ICT/610456//Green Computing Node for European micro-servers/EUROSERVER, info:eu-repo/grantAgreement/Deutsche Forschungsgemeinschaft/Exzellenzcluster/194636624//Center for Advancing Electronics Dresden/cfaed, info:eu-repo/grantAgreement/Deutsche Forschungsgemeinschaft/Sonderforschungsbereich/164481002//Highly Adaptive Energy-Efficient Computing/HAEC |
Page generated in 0.0018 seconds