HARDWARE ACCELERATION FOR A COMPRESSED COMPUTATION DATABASE
First Claim
1. A method of processing data using a plurality of computational nodes, each node performing a corresponding operation for data received at that node, and said method comprising:
- determining a compression benefit metric pertaining to performance of the corresponding operations of one or more computational nodes with recompressed data; and
recompressing the data for processing by the one or more computational nodes based on the compression benefit metric indicating a benefit gained by using the recompressed data.
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Abstract
According to embodiments of the present invention, machines, systems, methods and computer program products for hardware acceleration are presented. A plurality of computational nodes for processing data is provided, each node performing a corresponding operation for data received at that node. A metric module is used to determine a compression benefit metric pertaining to performance of the corresponding operations of one or more computational nodes with recompressed data. An accelerator module recompresses data for processing by the one or more computational nodes based on the compression benefit metric indicating a benefit gained by using the recompressed data. A distribution function may be used to distribute data among a plurality of nodes.
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Citations
6 Claims
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1. A method of processing data using a plurality of computational nodes, each node performing a corresponding operation for data received at that node, and said method comprising:
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determining a compression benefit metric pertaining to performance of the corresponding operations of one or more computational nodes with recompressed data; and recompressing the data for processing by the one or more computational nodes based on the compression benefit metric indicating a benefit gained by using the recompressed data. - View Dependent Claims (2, 3, 4, 5, 6)
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Specification