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The authors present the Active Storage Fabrics (ASF) model for storage embedded parallel processing as a way to address petascale data intensive challenges. ASF is aimed at emerging scalable system-on-a-chip, storage class memory architectures, but may be realized in prototype form on current parallel systems. ASF can be used to transparently accelerate host workloads by close integration at the middleware data/storage boundary or directly by data intensive applications. They provide an overview of the major components involved in accelerating a parallel le system and a relational database management system, describe some early results, and outline their current research directions.
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