High-Performance Computing PoC in Azure

Overview

The client is a world-renowned biomedical research organization dedicated to improving human health through innovative scientific discovery. As an institution that relies heavily on complex computational biology and bioinformatics workloads, they required a scalable and high-performance computing (HPC) solution to optimize data-intensive research operations.

The growing volume of genomic sequencing, molecular simulations, and other computationally intensive research required an infrastructure capable of handling massive data loads while ensuring efficiency, reliability, and cost-effectiveness. Recognizing the need for an advanced cloud-based HPC solution, The client partnered with Oakwood Systems Group to explore the potential of Azure-based HPC technology through a comprehensive Proof of Concept (POC). This collaboration aimed to evaluate cloud-based HPC capabilities and determine how best to integrate them into their long-term research strategy.

Solution

Oakwood approached the project with a structured, phased methodology to ensure a seamless transition to an Azure-based HPC environment. The engagement began with an Identify Phase, where Oakwood developed an Acceptance Test Plan to establish success criteria for the project. During this phase, Oakwood assessed the client’s existing on-premises infrastructure, including file structures, storage locations, and workload submission processes.

Additionally, Oakwood evaluated container suitability for cloud deployment and identified necessary Azure resources to optimize cost and performance. A detailed review of application packages, parallel processing capabilities, and workload orchestration tools such as Warewulf and Starfish helped shape the foundation of the project. Moving into the Design Phase, Oakwood designed and deployed a subset of Azure HPC components using sample datasets provided by the client to validate business expectations.

This phase involved building the foundational infrastructure, including VNet configuration, storage architecture, compute gallery setup, and connectivity options. Oakwood also designed and documented Slurm provisioning and management for job scheduling while defining and testing data movement strategies and network performance, ensuring optimal efficiency in latency and throughput.

In the Build Phase, Oakwood assisted in migrating and executing a selected workload into the Azure HPC environment. The team configured and tested all foundational components, including virtual machines (VMs), storage, networking, and job submission processes. Throughout the engagement, performance metrics and resource utilization were closely monitored to validate the effectiveness of the cloud-based HPC solution. To ensure seamless operations, Oakwood worked closely with the research teams, ensuring that connectivity and cluster access met their specific computational needs.

Finally, in the Deploy Phase, Oakwood conducted a comparative analysis of workload performance between their on-premises infrastructure and the Azure HPC solution. This analysis highlighted key improvements in scalability, performance, and cost efficiencies. The project concluded with the delivery of comprehensive documentation detailing the architecture, data flow, and job submission processes. Additionally, Oakwood provided a roadmap for scaling the PoC into a full production deployment, including project schedules and work breakdown structures, ensuring the client had a clear path forward for long-term HPC adoption.

Outcome

With Oakwood’s expertise in HPC on Azure, the client successfully validated a cloud-based HPC solution tailored to its computational research needs. The PoC demonstrated significant improvements in workload scalability, cost efficiency, and performance optimization.

The newly implemented cloud infrastructure provided enhanced flexibility in managing complex computational workloads, allowing researchers to scale operations dynamically based on demand. Optimized cloud resource utilization led to reduced infrastructure costs, providing a cost-effective solution for future expansions. Performance improvements allowed them to process large datasets faster and more efficiently, accelerating research initiatives that rely on high-performance computing.

By implementing this PoC, the client is now well-positioned to transition its HPC workloads to the cloud, enabling more efficient research processes and accelerating scientific discovery. The partnership with Oakwood provided not only a technical solution but also strategic guidance for integrating Azure’s capabilities into the client’s research framework. With a clear roadmap for the future, they can confidently expand its cloud-based HPC infrastructure, ensuring long-term innovation and advancement in biomedical research.

About Oakwood

Our Team of seasoned professionals delivers unparalleled expertise in consulting and implementation services across the Microsoft Azure stack, ensuring our clients harness the full potential of their technology investments. With a commitment to excellence and a passion for driving business success, Oakwood Systems stands at the forefront of technological innovation, helping businesses navigate and excel in today’s fast-paced digital landscape.