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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 ...

Irregular computation problems underlie many important scientific applications. Although these problems are computationally expensive, and so would seem appropriate for parallel machines, their irregular and unpredictable ...

Processing and analysing large volumes of data plays an increasingly important role in many domains of scientific research. The complexity and irregularity of datasets in many domains make the task of developing ...

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 ...

A large class of distributed testing, control and collaborative applications are reactive or event driven in nature. Such applications can be structured as a set of handlers that react to events and that in turn can trigger ...

This paper describes a parallel implementation of the direct simulation Monte Carlo method. Runtime library support is used for scheduling and execution of communication between nodes, and domain decomposition is performed ...

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 ...

Loss of precision due to the conservative nature of compile-time dataflow analysis is a general problem and impacts a wide variety of optimizations. We propose a limited form of runtime dataflow analysis, called ...