The continuing merger of computer and communication technologies is leading to a new computing/communications infrastructure of unprecedented magnitude, enabling new applications with broad economic and social impact. Yet, ...

Large data volumes cannot be transported, processed or displayed in real-time unless we apply to them general or application-specific compression and filtering techniques. In addition, when multiple end users inspect ...

This paper describes a parallel implementation of a grand challenge problem: global atmospheric modeling. The novel contributions of our work include: (1) a detailed investigation of opportunities for parallelism in ...

Advances in networking, visualization and parallel computing signal the end of the days of batch-mode processing for computationally intensive applications. The ability to control and interact with these applications in ...

Any parallel program has abstractions that are shared by the program's multiple processes, including data structures containing shared data, code implementing operations like global sums or minima, type instances used ...

Operating system kernels typically offer a fixed set of mechanisms and primitives. However, recent research shows that the attainment of high performance for a variety of parallel applications may require the ...

Distributed applications in which large volumes of data are exchanged between components that generate, process, and store or display data are common in both the high performance and enterprise domains. A key issue in these ...

The Kernel Tool Kit (KTK) is an object-based operating system kernel and parallel programming library that offers explicit support for on- and off-line program configuration. Specifically, KTK allows the ...

This paper describes and evaluates operating system support for on-line scheduling of real-time tasks on shared memory multiprocessors. The contributions of this work include: (1) the design and implementation of an ...