High performance database systems on coupled CPU-GPU architectures
Database systems have been widely used in a large range of applications to provide users with functions to store, modify and extract information from a huge volume of data. In recent years, with constantly increasing data volumes and the emerging of real-time data analytics workloads such as decisio...
Main Author: | He, Jiong |
---|---|
Other Authors: | He Bingsheng |
Format: | Thesis |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/68570 |
Similar Items
-
OMNIDB towards portable and efficient query processing on parallel CPU/GPU architectures
by: Zhang, Shuhao
Published: (2013) -
Comparative study of different CPU and GPU performance in performing genomic benchmarks
by: Chan, Eugene Xian Zhou
Published: (2017) -
Database architecture to support 3D virtual environments
by: Cao, Ping An
Published: (2008) -
Optimization and scheduling of applications in a heterogeneous CPU-GPU environment
by: Karan Rajendra Shetti
Published: (2014) -
Stock prediction using support vector machines and mapping to CPU+GPU system
by: Le, Tan Khoa.
Published: (2013)