With relations growing larger and queries becoming more complex, parallel query processing is an increasingly attractive option for improving the performance of database systems. The objective of this paper is to examine the various issues encountered in parallel query processing and the techniques available for addressing these issues. The focus of the paper is on the join operation with both ...

Image processing is a task of analysing the image and produces a resultant output in linear way. Image processing tasks are widely used in many applications domains, including medical imaging, industrial manufacturing, entertainment and security systems. Often the size of the image is very large, the processing time has to be very small and usually real-time constraints have to be met. The imag...

What makes people smarter than machines? They certainly are not quicker or more precise. Yet people are far better at perceiving objects in natural scenes and noting their relations , at understanding language and retrieving contextually appropriate information from memory, at making plans and carrying out contextually appropriate actions , and at a wide range of other natural cognitive .tasks....

This thesis deals with the problem of presenting and managing multiple live audiovisual data streams for television viewing. Prior work has dealt with content presentation and navigation in a large information space and typically has not concerned itself with the time critical aspect of the data. This thesis extends and modifies these concepts and applies them to entertainment. A general purpos...

INTRODUCTION Organizations today require a great deal more processing power to accommodate new kinds of applications, such as an information delivery facility, data mining, and electronic commerce. This need for large computing cycles may be met relatively inexpensively through massively parallel processing. Although massively parallel processors have been around for some time, their use has be...

The goal of this project is to understand the challenges in porting graph algorithms to commodity, hybrid platforms; platforms that consist of processors optimized for sequential processing and accelerators optimized for massively-parallel processing. This study fills the gap between current graph processing platforms that are either expensive (e.g., supercomputers) or inefficient (e.g., commod...