3/22/2023 0 Comments Virtualbox vs vmware vs hyper vThis has accelerated COVID-19 research in molecular dynamics simulations of SARS-CoV-2 spike protein interactions through massively-parallel computation and was performed with over 1 million volunteer computing devices using the platform. Grid computing has facilitated the formation of the world's first Exascale grid computer. Extremely large-scale COVID-19 research has also utilised some of the world's fastest supercomputers, such as IBM's SUMMIT - for ensemble docking high-throughput screening against SARS-CoV-2 targets for drug-repurposing, and high-throughput gene analysis - and Sentinel, an XPE-Cray based system used to explore natural products. Several bigdata processing tasks used in reducing the spread of SARS-CoV-2 require high-throughput approaches, and a variety of tools, which Hadoop and Spark offer, even using commodity hardware. High-performance computing (HPC) clusters will be used to carry out much of this work. In this article, I review distributed architectures - various types of clusters, grids and clouds - that can be leveraged to perform these tasks at scale, at high-throughput, with a high degree of parallelism, and which can also be used to work collaboratively. Much of this COVID-19 research depends on distributed computing. The current COVID-19 global pandemic caused by the SARS-CoV-2 betacoronavirus has resulted in over a million deaths and is having a grave socio-economic impact, hence there is an urgency to find solutions to key research challenges.
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