Linear image processing operations with operational tight packing.
IEEE Signal Processing Letters
Computer hardware with native support for large-bitwidth operations can be used for the concurrent calculation of multiple independent linear image processing operations when these operations map integers to integers. This is achieved by packing multiple input samples in one large-bitwidth number, performing a single operation with that number and unpacking the results. We propose an operational framework for tight packing, i.e., achieve the maximum packing possible by a certain implementation. We validate our framework on floating-point units natively supported in mainstream programmable processors. For image processing tasks where operational tight packing leads to increased packing in comparison to previously-known operational packing, the processing throughput is increased by up to 25%. © 2010 IEEE.
|Title:||Linear image processing operations with operational tight packing|
|Open access status:||An open access version is available from UCL Discovery|
|Additional information:||© 2010 IEEE. Personal use of this material (accepted version) is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Electronic and Electrical Engineering
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