Daniel P. Campbell

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This presentation will describe a Challenge Problem (CP) for petascale computers that models the requirements of computationally intensive, streaming sensor missions. The Challenge Problem is under development to support DARPA's Ubiquitous High Performance Computing (UHPC) program, and models the requirements of a persistent surveillance mission with high(More)
Approaching a Net Zero Energy (NZE) building goal based on current definitions is flawed for two principal reasons -- they only deal with energy quantities required for operations, and they do not establish a threshold, which ensures that buildings are optimized for reduced consumption before renewable systems are integrated to obtain an energy balance.(More)
Polymorphous Computing Architectures (PCAs) are computing devices that are capable of significant, rapid reconfiguration directed by software. Composed of several groups of computing elements, PCA devices can be configured to achieve high performance on a wide variety of problem types and processing demands. We describe an emerging concept called the(More)
This paper describes the use of graphics processors to accelerate the backpropagation method of forming images in Synthetic Aperture Sonar (SAS) systems. SAS systems coherently process multiple pulses to provide a higher level of detail in the resolved image than is otherwise possible with a single pulse. Several models are available to resolve an image(More)
In the application domain of real-time embedded signal processing systems based on commercial off-the-shelf (COTS) hardware and software, an increasingly important goal is portability and vendor-neutrality of application software. The Vector, Signal, and Image Processing Library (VSIPL) library is an open, vendor-neutral, industry standard application(More)
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