Abstract / Description of output
We make a case for studying the impact of intra-node parallelism on the performance of data analytics. We identify four performance optimizations that are enabled by an increasing number of processing cores on a chip. We discuss the performance impact of these opimizations on two analytics operators and we identify how these optimizations affect each another.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference (EDBT/ICDT 2016) |
| Place of Publication | Bordeaux, France |
| Publisher | CEUR Workshop Proceedings (CEUR-WS.org) |
| Number of pages | 4 |
| Publication status | Published - 17 Feb 2016 |
| Event | EDBT/ICDT 2016 Joint Conference - Bordeaux, France Duration: 15 Mar 2016 → 18 Mar 2016 http://edbticdt2016.labri.fr/ |
Conference
| Conference | EDBT/ICDT 2016 Joint Conference |
|---|---|
| Abbreviated title | EDBT/ICDT 2016 |
| Country/Territory | France |
| City | Bordeaux |
| Period | 15/03/16 → 18/03/16 |
| Internet address |