Derek Juba

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Biochemists often wish to compute surface areas of proteins. A variety of algorithms have been developed for this task, but they are designed for traditional single-processor architectures. The current trend in computer hardware is towards increasingly parallel architectures for which these algorithms are not well suited. We describe a parallel, stochastic(More)
CopubliShed by the ieee CS and the aip M agnetized plasma (ionized gas) is the main fuel component in controlled thermonuclear fusion devices. Given that turbulence in plasma can lead to energy losses and various catastrophic events, developing a predictive understanding of plasma turbulence via high-fidelity numerical simulations is highly beneficial. Such(More)
Implicit representations have the potential to represent large volumes succinctly. In this paper we present a multiresolution and progressive implicit representation of scalar volumetric data using anisotropic Gaussian radial basis functions (RBFs) defined over an octree. Our representation lends itself well to progressive level-of-detail representations.(More)
Humans have a variety of different senses for receiving information about the outside world. (There are also several senses related to the internal function of the body, but we will not go into those.) The traditional five are: • Sight • Hearing • Taste • Smell • Touch However, there are several others: • Temperature • Pain • Kinesthetic • Acceleration(More)
The goal of this survey paper is to overview cellular measurements using optical microscopy imaging followed by automated image segmentation. The cellular measurements of primary interest are taken from mammalian cells and their components. They are denoted as two- or three-dimensional (2D or 3D) image objects of biological interest. In our applications,(More)
—Direct numerical simulation (DNS) of turbulence is computationally very intensive and typically relies on some form of parallel processing. Spectral kernels used for spatial discretization are a common computational bottleneck on distributed memory architectures. One way to increase the efficiency of DNS algorithms is to parallelize spectral kernels using(More)
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