To raise the quality of life and wellbeing of people, biomedical research becomes crucial for enhancing global health, economic development, and health equity which may generate enormous amounts of data. Europe is the hub of biomedical research which paves the path for many prominent research universities in the region. However, the rising amount of data from the extensive bioinformatics research performed by the researchers at various universities can impede their discoveries as huge datasets can slow down the computational process due to the requirement of additional resources and cores.
The number of resources needed for each scientist at the universities for their individual innovation can lead to an overall increase in the capital expenditure for the university. University of Tübingen also began to face similar challenges when its different researchers took up the task of advancing their research in the different fields of bioinformatics and extending the university’s services and data to its partner sites.
It became vital for the university to maximize the number of cores integrated with a HPC software solution in a scalable manner to enable it with high security, have competing for resources to support different virtual machines, and have high-performance systems.
For this reason, it installed ClusterVision’s High-Performance Computing nodes at its main site which were built with the Intel 6230R Xeon processors, and supported its OpenStack-based cloud infrastructure.The open-source cloud infrastructure helped in assigning an increased number of virtual machines with multiple cores to each researcher which sped up their computations, helped them perform more calculations, and advance towards more findings
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