Both small and large organizations use Cloud to rectify IT-related business problems. Cloud offers increased scalability and flexibility in high-performance computing (HPC) environments. 

Cloud also offers increased productivity by running on-demand clusters through parallel computing, perform optimizations and parametric sweeps. The purpose is to assess a wide range of design options. 

Besides, using Cloud for HPC can increase accuracy. For instance, your company can use more detailed models by removing CPU and memory limitations. You will also access specialized hardware, such as large memory, GPUs, and new processor architectures. 

How to get the most out of Cloud in HPC environments? In today’s article, we will answer this question. Make sure you read this article thoroughly so that you grasp all the essential information. Read on! 

AWS Batch

HPC on AWS Batch leverages the sophistication and power of Cloud, allowing you to achieve optimal HPC performance. Using AWS Batch, you can meet the capacity requirements without compromising or over-provisioning capacity. 

AWS Batch offers fully managed services, allowing developers and engineers to run a large number of batch computing jobs on AWS. The AWS batch’s dynamic features enable you to provide the optimal type and quantity of compute resources. 

When you use AWS Batch, you won’t need to install or manage batch computing server clusters or software. That way, you can focus on solving problems by analyzing results. Bear in mind that AWS Batch allows you to plan, schedule, and execute your computing workloads in HPS environments. 

Containerization

Cloud Computing experts at Clovertex say that High-performance computing workloads are monolithic in nature. HPC applications would previously run for large data sets. However, with the use of application containerization, you can package HPC applications and deal with a large data set effectively. 

Using containerization, you can power your micro-services architecture for application services. For example, an application developed with micro-services methodology usually has a chuck of smaller services. The exciting thing is that you can cluster them in containers.  

Thus, you can maintain these services’ lifecycles while focusing on service-specific requirements, including independent development, granular scaling, and fault remediation. Moreover, you can benefit from the isolated management for your HPC application workloads. 

Isolated management includes scaling and development. Remember, containers’ scaling capability is essential because HPC workloads can face a spike in data processing requirements. When you deploy HPC applications in containers, you can scale effectively to handle such spikes. 

Step Functions

AWS Step Functions offers various benefits to companies running their IT operations in HPC environments. It helps your company improve application resiliency, maintain complex or large applications with less programming and coding. Bear in mind that Step Functions are critical for cloud-driven HPC applications. 

For instance, you can implement checkpoints and restarts to make proper and orderly execution of application tasks. You can use built-in try/catch features to mitigate the risk of errors and exceptions automatically. Moreover, you can set your own retry handling parameters around error equals, back-off rates, and max attempts using Step Functions capabilities. 

Visualization

Visualization is a critical component of data analysis workflows in HPC environments, allowing you to view the entire dataset and speed up the discovery process. It is crucial to use visualization containers in an HPC environment to overcome the challenge of burdensome installations. 

HPC visualization containers enable you to mitigate the challenge of installing an application on a system. These containers allow you to run visualization jobs on various systems, meaning you don’t need to rely on system administrators to install and run visualization tools. 

For instance, you can use remote visualization through Cloud to stimulate and visualize data on a remote system. At the same time, you can render frames and send them back for visual analysis. 

Final Words 

In-house High-performance computing can become obsolete quickly, meaning that you will need regular updates if you want to run and manage HPC environments effectively. Cloud computing with AWS batch, containerization, STEP functions, and visualization can help your company stay current within the industry and streamline IT-related business applications. 

If you want to run and manage your HPC applications on Cloud effectively, make sure you hire a professional company, like Clovertex, to get the most out of your business operations on Cloud. Contact us today!