DocumentCode :
62938
Title :
The Q100 Database Processing Unit
Author :
Wu, Lisa ; Lottarini, Andrea ; Paine, Timothy K. ; Kim, Martha A. ; Ross, Kenneth A.
Volume :
35
Issue :
3
fYear :
2015
fDate :
May-June 2015
Firstpage :
34
Lastpage :
46
Abstract :
The Q100 uses hardware specialization to improve the energy efficiency of analytic database applications. The proposed accelerators are called database processing units. DPUs are analogous to GPUs, but where GPUs target graphics applications, DPUs target analytic database workloads. This article demonstrates a proof of concept design, called the Q100, which provides one to two orders of magnitude improvement in efficiency over single- and multithreaded software database management systems. The Q100 exploits the innate structure of the workload, viewing the data in terms of tables and columns rather than as an unstructured array of bytes, to more efficiently move and manipulate database content. Because a large proportion of a chip´s energy is spent delivering data to the computation engines, this approach both improves overall energy efficiency and complements other specialized computation engines.
Keywords :
database management systems; multi-threading; power aware computing; DPU; GPU; Q100 database processing unit; accelerators; analytic database applications; analytic database workloads; chip energy; computation engines; database content; energy efficiency; graphics applications; hardware specialization; magnitude improvement; multithreaded software database management systems; proof of concept design; single-threaded software database management systems; workload structure; Accelerators; Data processing; Microarchitecture; Pipeline processing; Software engineering; Streaming media; DPU; accelerator; database; database processing unit; microarchitecture; specialized functional unit; streaming data;
fLanguage :
English
Journal_Title :
Micro, IEEE
Publisher :
ieee
ISSN :
0272-1732
Type :
jour
DOI :
10.1109/MM.2015.51
Filename :
7106397
Link To Document :
بازگشت