The National Scalable Cluster Project: Three Lessons about High Performance Data Mining and Data Intensive Computing

2002 ◽  
pp. 853-874 ◽  
Author(s):  
Robert Grossman ◽  
Robert Hollebeek
Keyword(s):  
Data Mining ◽  
High Performance ◽  
Performance Data ◽  
Data Intensive Computing ◽  
Data Intensive

Hardware Technologies for High-Performance Data-Intensive Computing

Computer ◽  
2008 ◽  
Vol 41 (4) ◽  
pp. 60-68 ◽  
Author(s):  
Maya Gokhale ◽  
Jonathan Cohen ◽  
Andy Yoo ◽  
W. Marcus Miller ◽  
Arpith Jacob ◽  
...  
Keyword(s):  
High Performance ◽  
Performance Data ◽  
Data Intensive Computing ◽  
Data Intensive

Workshop on high performance data intensive computing

2016 ◽  
Vol 28 (6) ◽  
pp. 1695-1696
Author(s):  
Yunquan Zhang ◽  
Ji-Lin Zhang
Keyword(s):  
High Performance ◽  
Performance Data ◽  
Data Intensive Computing ◽  
Data Intensive

Using Grids for Distributed Knowledge Discovery

2011 ◽  
pp. 284-298 ◽  
Author(s):  
Antonio Congiusta ◽  
Domenico Talia ◽  
Paolo Trunfio
Keyword(s):  
Data Mining ◽  
Knowledge Discovery ◽  
High Performance ◽  
Data Transfer ◽  
Grid Services ◽  
Distributed Knowledge ◽  
Data Intensive ◽  
Knowledge Grid ◽  
Complex Knowledge ◽  
High Level

Knowledge discovery is a compute and data intensive process that allows for finding patterns, trends, and models in large datasets. The Grid can be effectively exploited for deploying knowledge discovery applications because of the high-performance it can offer and its distributed infrastructure. For effective use of Grids in knowledge discovery, the development of middleware is critical to support data management, data transfer, data mining and knowledge representation. To such purpose, we designed the Knowledge Grid, a high-level environment providing for Grid-based knowledge discovery tools and services. Such services allow users to create and manage complex knowledge discovery applications, composed as workflows that integrate data sources and data mining tools provided as distributed Grid services. This chapter describes the Knowledge Grid architecture and describes how its components can be used to design and implement distributed knowledge discovery applications. Then, the chapter describes how the Knowledge Grid services can be made accessible using the Open Grid Services Architecture (OGSA) model.

Sign in / Sign up

Export Citation Format

Share Document