The cloud computing paradigm democratized compute infrastructure access to millions of resource-strained organizations, applying economics of scale to massively reduce infrastructure costs. In the High Performance Computing (HPC) context, the benefits of using public cloud resources make it an attractive alternative to expensive on-premises clusters, however there are several challenges and limitations. In this paper, we present HPC@Cloud: a provideragnostic software framework that comprises a set of key software tools to assist in the migration, test and execution of HPC applications in public clouds. HPC@Cloud allows the HPC community to benefit from readily available public cloud resources with minimum efforts and features an empirical approach for estimating cloud infrastructure costs for HPC workloads. We also provide an experimental analysis of HPC@Cloud on two public clouds: Amazon AWS and Vultr Cloud.
A orquestração de contêineres em ambientes de computação em nuvem tem se tornado cada vez mais popular nos últimos anos. O presente trabalho visa avaliar o desempenho de aplicações HPC em contêineres executados na nuvem. Com esse objetivo, foi realizada uma comparação de performance entre a tecnologia de contêiner denominada Singularity e o ambiente nativo da AWS por meio de programas paralelizados com MPI.
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