CMSC 818
Parallel and Distributed Data Intensive Computing

 

Hours

Class meets TTh 12:30--1:45 in CSIC 3120.

Staff

Name	Email	Phone	Office	Office Hours
Alan Sussman	als@cs.umd.edu	x53360	AVW 4145	TBA

Description

The course will be a survey of tools and techniques for building high performance applications that use large datasets, in both homogeneous parallel computing environments and in heterogeneous distributed computing environments. The course will target algorithmic, systems, API and user interface issues. We will also analyze a set of data intensive applications to determine their current and future requirements.

Tentative/partial schedule of topics

• The Computational Grid
  • Globus
  • Legion
  • Data grids
  • Open Grid Services Architecture
• Scientific Data Analysis Applications
  • Large-scale simulation
  • Sensors
    • Medical imaging
    • Satellite data processing
• Indexing
  • B-trees
  • Spatial indexing
    • R-trees
    • Quadtrees
  • Space filling curves
• Components
  • Common Component Architecture (CCA)
  • DataCutter
• Runtime systems
  • Active Data Repository (ADR)
  • Multi-query optimization (MQO)
• Global persistent storage
  • File systems
• Database systems
  • Streaming databases
  • Object-relational databases
• Semantic Web and Web Services

Last updated Monday, 30 September 2002 01:19 PM