Abstract
Cloud computing has become a routine tool for scientists in many fields. The JINR cloud infrastructure provides JINR users with computational resources to perform various scientific calculations. In order to speed up achievements of scientific results the JINR cloud service for parallel applications has been developed. It consists of several components and implements a flexible and modular architecture which allows to utilize both more applications and various types of resources as computational backends. An example of using the Cloud&HybriLIT resources in scientific computing is the study of superconducting processes in the stacked long Josephson junctions (LJJ). The LJJ systems have undergone intensive research because of the perspective of practical applications in nano-electronics and quantum computing. In this contribution we generalize the experience in application of the Cloud&HybriLIT resources for high performance computing of physical characteristics in the LJJ system.
Highlights
Quite often small research scientific groups from JINR and its Member State organizations do not have access to sufficiently powerful resources required for their work to be productive
Resources of the HybriLIT cluster operated by the Slurm workload manager [9] can be used as another computational backend for user jobs coming from the SaaS web portal
Improve the web interface by adding a possibility to choose a certain type of long Josephson junctions (LJJ), set a job description, re-submit a job, automatically calculate some of the parameters based on the values already entered by a user and known interrelations between them
Summary
Quite often small research scientific groups from JINR and its Member State organizations do not have access to sufficiently powerful resources required for their work to be productive. It is a widespread practice to do computations which may last days or even weeks on own laptops or PCs. Others buy powerful desktop servers and offload computational work there. Others buy powerful desktop servers and offload computational work there Possible drawbacks of such approach are the following:. Taking into account the drawbacks listed above the JINR cloud team has developed a service which provides small research groups from JINR and its Member State organizations with access to computational resources via a problem-oriented (i.e. application-specific) web interface
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