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Computational storage: University of Edinburgh - Antonio Barbalace at the CSD coalface Latest Blog Posts Related Content
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In a number of follow-up pieces to the Computer Weekly Developer Network (CWDN) series focusing on Computational Storage, CWDN continues the tread with some extended analysis in this space.
The below commentary forms part of a Q&A with Antonio Barbalace in his capacity as senior lecturer with the Institute for Computing Systems Architecture (ICSA) in the School of Informatics at The University of Edinburgh.
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Software runs on data and data is often regarded as the new oil. So it makes sense to put data as close to where it is being processed as possible, in order to reduce latency for performance-hungry processing tasks.
Some architectures call for big chunks of memory-like storage located near the compute function, while, conversely, in some cases, it makes more sense to move the compute nearer to the bulk storage.
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Software runs on data and data is often regarded as the new oil. So it makes sense to put data as close to where it is being processed as possible, in order to reduce latency for performance-hungry processing tasks.
Some architectures call for big chunks of memory-like storage located near the compute function, while, conversely, in some cases, it makes more sense to move the compute nearer to the bulk storage.
In this series of articles we explore the architectural decisions driving modern data processing.