Parallel Works
Parallel Works is a cloud-based High performance computing (HPC) orchestration and workflow automation platform for engineering, scientific, and data-intensive workloads.
- Cloud-native platform for orchestrating HPC, simulation, and data workflows across multiple infrastructures.
- Web-based workflow builder for composing, automating, and managing complex engineering and scientific pipelines.
- Integration with public cloud HPC resources and on-premises (on-prem) clusters for hybrid and multi-cloud compute environments (cloud management).
- Collaboration and governance features for teams working on shared models, applications, and computational workflows.
- Professional services for onboarding, workflow development, and environment configuration around the Parallel Works platform.
More About Parallel Works
Parallel Works provides a software platform that allows enterprises, engineering firms, and research organizations to run and manage HPC workloads in cloud and hybrid environments. The platform focuses on orchestration of simulations, data analysis, optimization jobs, and other compute-intensive tasks, presenting these capabilities through a web portal and workflow engine that can be used by engineers and scientists without direct interaction with low-level infrastructure.
The Parallel Works environment typically runs on public cloud infrastructure and can connect to customer-managed on-prem clusters, supporting hybrid HPC deployment models (cloud management). It uses workflow definitions that chain together simulation tools, solvers, and post-processing steps. These workflows can encapsulate containerized applications, command-line tools, and scripts, and can be configured to run in parallel across cloud instances or cluster nodes according to user-defined parameters. The platform coordinates job submission, monitoring, and resource allocation through integrations with cloud services and HPC schedulers.
For enterprise and institutional environments, Parallel Works is positioned as an abstraction layer over underlying compute, storage, and networking resources. It allows IT and HPC administrators to define templates, policies, and access controls, while domain experts execute parameter studies, design-of-experiments, and batch simulations through graphical interfaces. Role-based access and project-level sharing support collaboration across distributed teams. The platform is used in scenarios such as Computational Fluid Dynamics (CFD), structural analysis, optimization workflows, and other engineering simulations where users may need to run many variants of a model in parallel.
From a technology perspective, Parallel Works relies on web application frameworks, APIs, and cloud orchestration mechanisms to provision and manage compute nodes, attach storage, and schedule jobs. It interoperates with established engineering and scientific tools and can be configured to call external solvers and analysis packages. The system is designed to manage configuration for each workflow step, including input data, environment variables, and post-processing routines, then package these into repeatable and shareable workflows.
In marketplace taxonomy, Parallel Works fits into categories such as cloud HPC orchestration, workflow automation for engineering and scientific computing, and hybrid cloud management for HPC workloads. Organizations use it to standardize how simulation and data-intensive processes are executed across cloud and on-prem resources, to increase utilization of compute infrastructure, and to provide a consistent user experience for technical teams who need scalable computational capacity without custom scripting for each environment.