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Three algorithms from scientific computing are implemented on an Intel Paragon and an IBM SP2 parallel computer.
Different self-optimization software–hardware substitution mechanisms, inspired by the field of organic computing, are implemented and evaluated using two different synthetic benchmarks and an exemplary application from the field of parallel robotics.
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For many classes support for the Hadoop MapReduce (hadoop.apache.org) and Apache Spark (spark.apache.org) frameworks for cluster computing was implemented.
The computing was implemented with a high-throughput computing pipeline called parallel-BayesCpC [ 30].
The SASMs that we computed were implemented in BLAST and PSI-BLAST, and their effectiveness in detecting remote homologs was compared against BLOSUM62.
With the increasing use of autonomic computing technologies, JEE servers are implemented with more and more adaptive computations.
The aim of this first part is to present the physical problems and the robust and accurate numerical schemes that are implemented for computing stationary solutions, to show a few computational examples and to explain how the basic GPELab functions work.
For example, in the field of computer vision technology, many dense stereo matching algorithms [13] are implemented to compute depth values from x-parallax disparity.
We reiterate here that the last lines of each of (2),(6) and (10) include the collection of terms, significantly cutting down on computing time when these formulae are implemented, especially in the case of (10).
The simple Gladstone Dale and the Lorentz Lorenz models are implemented to compute the value of the refractive index.
Several first-order correction methods are implemented to compute pseudo-synoptic data sets from non-synoptic raw data sets.
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