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The implementation presented here uses ONLY standard components of the MDSplus environment.
The implementation presented in this chapter changes the algorithm in a way that leads to O(1) complexity and therefore allows an arbitrary number of active functions.
The implementation presented in this paper maintains the same base classes for Boolean operations in VTK version 6.2.0, but develops new procedures within these classes.
The implementation presented in this paper takes advantage of Java's organization to build the inheritance trees for the classes, and Java's interfaces, collections, comparators, and iterators.
The implementation presented is mainly based on Xen tools.
To demonstrate our approach in action and evaluate its performance and scalability, we have used the implementation presented in Section 3.4 to model and run the Car Logistics scenario introduced in Section 2. In the following sections we present the outcome of the set of experiments done.
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The results show the scalability of the algorithm and the implementations presented: the addition of more threads/nodes/GPUs tends to present superior results.
The comparison involved: FML-k NN (single session): The proposed implementation, presented in the previous section.
The ScEM implementation presented in the current paper does not have a cell-size dependence on growth rate.
The parallel implementation presented here focuses on the distributed-memory approach using the message-passing library MPI.
A Pitzer model was selected for the modeling, which was developed using the implementation present within PHREEQC software.
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the applications presented
the implementation agreement
the performances presented
the data presented
the interaction presented
the tape presented
the theater presented
the assignment presented
the opportunity presented
the fall presented
the group presented
the place presented
the orphanage presented
the narrative presented
the department presented
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