| Autor: |
Kiefer, Tim, Kissinger, Thomas, Schlegel, Benjamin, Habich, Dirk, Molka, Daniel, Lehner, Wolfgang |
| Jazyk: |
angličtina |
| Rok vydání: |
2014 |
| Předmět: |
|
| Druh dokumentu: |
Text<br />Conference Material |
| DOI: |
10.1145/2588555.2594524 |
| Popis: |
The ever-growing demand for more computing power forces hardware vendors to put an increasing number of multiprocessors into a single server system, which usually exhibits a non-uniform memory access (NUMA). In-memory database systems running on NUMA platforms face several issues such as the increased latency and the decreased bandwidth when accessing remote main memory. To cope with these NUMA-related issues, a DBMS has to allow flexible data partitioning and data placement at runtime. In this demonstration, we present ERIS, our NUMA-aware in-memory storage engine. ERIS uses an adaptive partitioning approach that exploits the topology of the underlying NUMA platform and significantly reduces NUMA-related issues. We demonstrate throughput numbers and hardware performance counter evaluations of ERIS and a NUMA-unaware index for different workloads and configurations. All experiments are conducted on a standard server system as well as on a system consisting of 64 multiprocessors, 512 cores, and 8 TBs main memory. |
| Databáze: |
Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
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