| W. Maniatty, B.K. Szymanski, and T. Caraco, Implementation and Performance of the Parallel Ecological Simulations," Proc. Applications in Parallel and Distributed Computing, Caracas, Venezuela, April |
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Maniatry, W., B. K. Szymanski, and T. Caraco. "Implementation and Performance of Parallel Ecological Simulations," in Proceedings IFIP WG10.$ International Conference on Applications in Parallel and Distributed Computing, in press.
....disease causing agents: a macroparasite species that spread via direct contact, and a vector borne microparasite (patbogen) species. The user can selectively remove some of the species to perform controlled experiments for specific species interactions like we have done it with the TEMPEST model [11, 12, 13]. The model described here assumes haploid species. We introduce genetic data to answer two biological questions. First, we want to find out what is the probability that a host will be infected. Second, we want to measure what impact does an infection have on the host s fecundity and mortality. ....
W. Maniatty, B.K. Szymanski, and T. Caraco. Im- plementation and performance of parallel ecolog- ical simulations. In Proc. IFIP WG10.3 Interna- tional Conference on Applications in Parallel and Distributed Computing, Elseveir Science Publishers B.V., Amsterdam, Netherlands, 1993.
....model can describe a cell s state transitions as functions of the states of cells within its stencil. The size of the stencil and the location of the affected cell within it are based on the characteristics of the species and the habitat. The implemented model allows di verse analyses [11, 31, 32]. We can examine both direct transmission and the ecologically significant vector borne disease. The software is parameterized by the modeled species properties for ease of experimentation. The model presented has been used to investigate the relatively unexplored issue of how systematically ....
....array, so both ai and perimeter i can be computed by a segmented scan operator using O(x ) messages. The fractal dimension is obtained using reduction operators with a complexity of O(x ) in number of operations and messages which is also the overall complexity of the entire computation (see [31] for more details) Implementation on a coarse grained MIMD architecture is nontrivial. We are adopting Bader and JJ s image component labeling algorithm [2] and are extending it to compute the area and perimeter of each image component. 3.3. Discrete Voronoi Diagram and Velocity Computation . ....
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W. MANIATTY, B. SZYMANSKI, AND T. CARACO, Implementation and performance of parallel ecological simu- lations, in Proceedings IFIP WG10.3 International Conference on Applications in Parallel and Distributed Computing, Amsterdam, The Netherlands, 1993, Elseveir Science Publishers B.V. Online information avail- able at ftp://ftp.cs.rpi.edu/pub/maniattb/ifips93.ps.Z.
....Utilization vs. Number Of Sites 3x3 Stencil 5x5 Stencil 7x7 Stencil 9x9 Stencil 11x11 Stencil 13x13 Stencil Figure 2: Processor Utilization of MasPar MP 1 ffl Relative Patchiness A measure of ecological diversity, i.e. the average rate of change of the landscape along some direction. In [Maniatty et al. 1993] the algorithms used in the implementation are discussed in more detail. Thirty six executions of the model were timed using 32 bit integer and 64 bit floating point arithmetic on the MasPar MP 1 (with 2048 PEs, each with a 1:56 MIPS and 0:0336 MFLOPS rating) and the DECstation 5000=240HX (42:9 ....
....than it does to generate all the data points on the MasPar MP 1. The future generation of TEMPEST might use a more efficient visualization package than that provided by Maple. 5 BIOLOGICAL RESULTS AND INTERPRETATIONS So far, TEMPEST has been used to simulate: ffl the spread of epidemics [Maniatty et al. 1993], ffl population dynamics of single species systems, ffl populations dynamics of two competing species. In this section, we discuss simulation results for singlespecies and two species systems. The purpose of simulations was to investigate extinction trends, rates of population spread and the ....
Maniatty, W., B. K. Szymanski, and T. Caraco. "Implementation and Performance of Parallel Ecological Simulations," in Proceedings IFIP WG10.3 International Conference on Applications in Parallel and Distributed Computing, in press.
....Let n be the number of sites, then i = C i n . ffl D : Community diversity, D = P i 6=0 [ Gamma i log( i ) ffl S : Cardinality of the set of states currently represented ffl E : Community evenness, E = D S ffl P : Relative patchiness, see [2] ffl F : Fractal dimension, see [1]. ffl Associated image component labeling stuff (largest patch area, smallest patch area, largest patch perimeter, smallest patch perimeter, etc. See [1] These are performed for clusters of each of the four species (good host, bad host, pathogen, parasite) see [3] ffl State transition counts ....
....of states currently represented ffl E : Community evenness, E = D S ffl P : Relative patchiness, see [2] ffl F : Fractal dimension, see [1] ffl Associated image component labeling stuff (largest patch area, smallest patch area, largest patch perimeter, smallest patch perimeter, etc. See [1] These are performed for clusters of each of the four species (good host, bad host, pathogen, parasite) see [3] ffl State transition counts : Ecological State Transition Diagram Empty State 0 1 3 7 5 6 8 4 2 Good Host Bad Host Pathogen Parasite Host Parasite Host Host Host Pathogen Figure 5: ....
W. Maniatty, B.K. Szymanski, and Tom Caraco. Implementation and performance of parallel ecological simulations. In Proceedings IFIP WG10.3 International Conference on Applications in Parallel and Distributed Computing, Amsterdam, The Netherlands, 1993. Elseveir Science Publishers B.V.
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W. Maniatty, B.K. Szymanski, and T. Caraco, Implementation and Performance of the Parallel Ecological Simulations," Proc. Applications in Parallel and Distributed Computing, Caracas, Venezuela, April
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