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A hardware implementation of the improved architecture is presented, together with the corresponding performance results and resources requirements.
Starting from an initial network configuration, the structure is further improved in order to minimize the external resources requirements.
In this work the concern of the potential use of Monte Carlo codes to perform full 3-D calculations including burnup for a state of art Research Reactor is analyzed, regarding aspects related to accuracy, performance and resources requirements.
Finally several aspects of the computational issues related with this modeling such performance, scalability and resources requirements are discussed, showing that the use of full core 3-D MC models including burnup for small cores represents nowadays a feasible alternative for specific calculations.
Some disadvantages refer the multiple parameters used for the algorithm and the high hardware resources requirements.
Experiments show that the proposed method achieves good results with low computational and hardware resources requirements.
Similar(39)
The computational resources requirement is further investigated in this paper.
The resources requirement for this example can be found in Table 6.
No datacenter supports federation of virtual resources (requirement R10), full NVE (requirements R1-R2) and resource access control (requirements R6 and R7).
Each application service had its own application type and requires different resource requirements.
Each MU application service has its own application type and requires different resource requirements.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com