Large-scale scientific applications on High End Computing systems produce a large volume of highly complex datasets. Such data imposes a grand challenge to conventional storage systems for the need of efficient I/O solutions during both the simulation runtime and data post-processing phases. With the mounting needs of scientific discovery, the read performance of large-scale simulations has becomes a critical issue for the HPC community. In this study, we propose a system-aware optimized data

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... ganization strategy that can organize data blocks of multidimensional scientific data efficiently based on simulation output and the underlying storage systems, thereby enabling efficient scientific analytics. Our experimental results demonstrate a performance speedup up to 72 times for the combustion simulation S3D, compared to the logically contiguous data layout.