On the impact of memory allocation on high-performance query processing
Durner D, Leis V, Neumann T (2019)
Publication Type: Conference contribution
Publication year: 2019
Publisher: Association for Computing Machinery
Conference Proceedings Title: Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems
Event location: Amsterdam
ISBN: 9781450368018
Abstract
Somewhat surprisingly, the behavior of analytical query engines is crucially affected by the dynamic memory allocator used. Memory allocators highly influence performance, scalability, memory efficiency and memory fairness to other processes. In this work, we provide the first comprehensive experimental analysis on the impact of memory allocation for high-performance query engines. We test five state-of-the-art dynamic memory allocators and discuss their strengths and weaknesses within our DBMS. The right allocator can increase the performance of TPC-DS (SF 100) by 2.7x on a 4-socket Intel Xeon server.
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Germany (DE)How to cite
APA:
Durner, D., Leis, V., & Neumann, T. (2019). On the impact of memory allocation on high-performance query processing. In Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems. Amsterdam, NL: Association for Computing Machinery.
MLA:
Durner, Dominik, Viktor Leis, and Thomas Neumann. "On the impact of memory allocation on high-performance query processing." Proceedings of the 15th International Workshop on Data Management on New Hardware, DaMoN 2019, Held with ACM SIGMOD/PODS 2019, Amsterdam Association for Computing Machinery, 2019.
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