Dynamic Allocation of High Performance Computing Resources

Manish Kumar Abhishek
<span title="2020-06-25">2020</span> <i title="The World Academy of Research in Science and Engineering"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/naqzxq5hurh2bp2pnvwitnnx44" style="color: black;">International Journal of Advanced Trends in Computer Science and Engineering</a> </i> &nbsp;
With the increasing demand of fast computation, High performance computing is getting evolved now a days rapidly. In Today's data era where problems are going to be huge and need high computational resources, High performance computing (HPC) is emerged based on multiple system parallelism equivalent to facilitate supercomputing functionalities. It is going to have a cluster of parallel interconnected computational systems to reduce time of the execution. Several tools are available for cluster
more &raquo; ... anagement, but resource usage and consumption are always a concern. This paper presents a model which will help in dynamically allocation of the computational resources in terms of CPU, memory to overcome the existing challenges and reduce performance overhead. The results focus on the different configuration for computing resources and comparison of time entities for execution with different number of interconnected processes.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30534/ijatcse/2020/159932020">doi:10.30534/ijatcse/2020/159932020</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2bqmqjpfefbp7cprgkbarlwj4u">fatcat:2bqmqjpfefbp7cprgkbarlwj4u</a> </span>
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