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Optimizing Azure for High-Performance Computing (HPC) in Research and Scientific Applications

Maitreyan, Sarode · 2025
PhilArchive · Papers · 2025
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philosophy
: High-performance computing (HPC) plays a crucial role in advancing scientific research and technological innovation by enabling complex simulations, data analysis, and modeling. Azure, Microsoft's cloud computing platform, offers a robust environment for HPC, providing scalable compute power, storage, and advanced tools to accelerate research in fields such as bioinformatics, climate modeling, quantum physics, and engineering. This paper explores how Azure can be optimized for HPC, focusing on the capabilities of Azure’s infrastructure, networking, and services tailored for research and scientific applications. Additionally, it discusses the challenges of utilizing Azure for HPC, such as cost management, resource allocation, and security, while offering practical solutions for maximizing performance. The paper also provides real-world case studies demonstrating the successful application of Azure in HPC-driven research. By leveraging Azure’s HPC resources, researchers and institutions can achieve groundbreaking results while minimizing the barriers of traditional on-premise computing infrastructure.
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