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Data analysis applications in areas as diverse as remote sensing and telepathology require operating on and processing very large datasets. For such applications to execute efficiently, careful attention must be paid ...

We present the design of the Virtual Microscope, a software system employing a client/server architecture to provide a realistic emulation of a high power light microscope. We discuss several technical challenges related ...

This paper describes a framework for providing the ability to use multiple specialized data parallel libraries and/or languages within a single application. The ability to use multiple libraries is required in many ...

Query scheduling plays an important role when systems are faced with limited resources and high workloads. It becomes even more relevant for servers applying multiple query optimization techniques to batches of queries, ...

Large client-server data intensive applications can place high demands on system and network resources. This is especially true when the connection between the client and server spans a wide-area internet link. In ...

The continuing increase in the capabilities of high performance computers and continued decreases in the cost of secondary and tertiary storage systems is making it increasingly feasible to generate and archive very large ...

As computational power and storage capacity increase, processing and analyzing large volumes of multi-dimensional datasets play an increasingly important part in many domains of scientific research. Our study of a large ...

MQO is a distributed multiple query processing middleware that can optimize query processing for data analysis applications on the Grid. It has one or more proxies that act as front-end to a collection of backend servers. ...

Traditionally, applications executed on distributed memory architectures in single-program multiple-data (SPMD) mode use distributed (multi-dimensional) data arrays. Good performance has been achieved by applying runtime ...

This work investigates the leverage that can be obtained from compiler optimization techniques for efficient execution of multi-query workloads in data analysis applications. Our approach is to address multi-query ...