Summary
This white paper discusses the challenges and solutions related to data management in high-performance computing (HPC) environments. It outlines the rapid growth of data volumes in scientific research labs, which are increasing at over 30% annually due to enhanced compute performance. The paper highlights the need for effective data lifecycle management, particularly in moving data to middle and archive tier storages. It presents specific use cases, including the implementation of Atempo's Miria solution for orchestrating, protecting, and archiving HPC data. The document details various storage tiers, including Burst, Scratch, and Archive spaces, and emphasizes the importance of managing data across these tiers to optimize performance and cost. The role of parallel file systems, particularly Lustre, is also examined, noting their significance in HPC architectures. The paper concludes with insights into future trends in data management and the convergence of compute and storage components in HPC.
