Paper Info
Title
Heterogeneity-conscious parallel query execution: getting a better mileage while driving faster!
Abstract
Physical and thermal restrictions hinder commensurate performance gains from the ever increasing transistor density. While multi-core scaling helped alleviate dimmed or dark silicon for some time, future processors will need to become more heterogeneous. To this end, single instruction set architecture (ISA) heterogeneous processors are a particularly interesting solution that combines multiple cores with the same ISA but asymmetric performance and power characteristics. These processors, however, are no free lunch for database systems. Mapping jobs to the core that fits best is notoriously hard for the operating system or a compiler. To achieve optimal performance and energy efficiency, heterogeneity needs to be exposed to the database system. In this paper, we provide a thorough study of parallelized core database operators and TPC-H query processing on a heterogeneous single-ISA multi-core architecture. Using these insights we design a heterogeneity-conscious job-to-core mapping approach for our high-performance main memory database system HyPer and show that it is indeed possible to get a better mileage while driving faster compared to static and operating-system-controlled mappings. Our approach improves the energy delay product of a TPC-H power run by 31% and up to over 60% for specific TPC-H queries.
Year
DOI
Venue
2014
10.1145/2619228.2619230
DaMoN
Keywords
Field
DocType
heterogeneous,systems,dark silicon,multi-core,energy efficiency,multi core
Dark silicon,Architecture,Computer science,Instruction set,Efficient energy use,Parallel computing,No free lunch in search and optimization,Real-time computing,Compiler,Operator (computer programming),Multi-core processor
Conference
Citations 
PageRank 
References 
10
0.56
25
Authors
5
Name
Order
Citations
PageRank
Tobias Mühlbauer121712.21
Wolf Rödiger21297.03
Robert Seilbeck3100.90
Alfons Kemper43519769.50
Thomas Neumann52523156.50