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Grid size study for accuracy and speed of execution on a computer is also presented.
Software engineers may be involved in the design and development of many types of software, including software for operating systems and network distribution, and compilers, which convert programs for execution on a computer.
Because the computation was time intensive, we modified the algorithm to enable parallelized execution on a computer cluster.
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The execution time on a computer with a 2.40 GHz dual processor and 2 GB RAM was about 2 hours per 10 million base pairs for an HMM with 100 match states.
PAR [50] was used to accelerate some experiments by parallelizing their execution on a multicore computer.
The integrated exposure uptake biokinetic (IEUBK) model is a dynamic mathematical model that has been discretized for execution on a digital computer.
The final analysis took about five days of execution on a personal computer with a Pentium® 4 (CPU 3.6 GHz, 3.11 GB of RAM) processor, at a rate of 0.11 second per cycle.
The framework was tested through several experiments with a three-population ecosystem containing up to 40 thousand organisms evolving inside a 200,000 m2 simulation environment during 12,000 model-hours; yet, requiring only a few hours of program execution on a regular personal computer.
The executions were conducted on a computer with Intel Core i7-2620M CPU @ 2.70 GHz and an installed main memory (RAM) of 8 GB.
It is written in Fortran90 and optimized for a fast execution on a broad range of computer architectures, spanning from single processor PCs over PC-clusters and vector computers to high-end parallel machines.
A model of computation (MoC) is a formal abstraction of execution in a computer.
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