| Document Date: 2015-04-09 01:13:54
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Company Cdi / Intel / / / IndustryTerm high energy efficiency / video applications / off-chip / stereo 3D production tools / video processing applications / energy expressions / image processing / sparse linear systems / software implementations / visual computing problems / approximate solution / least-squares solution / hybrid solution / real-time video applications / real-time video processing / scalar products / mobile devices / image processing algorithms / solver hardware / stereo applications / video processing / image-based graphics applications / quadratic energy / video processing boil / computing / scalar product / linear systems / on-chip / energy minimization problem / solver algorithm / scalar-products / decomposition algorithm / energy / programmable hardware / energy expression / / Organization IN V / Society for Industrial Mathematics / / Person Patrice Guillet / Forward Subst / Hubert Kaeslin / Ai / Pierre Greisen / Marian Runo / Markus Gross / Simon Heinzle / / ProgrammingLanguage MATLAB / C++ / / RadioStation 9 With / / Technology FPGA / visual computing / specific algorithm / solver algorithm / RAM / BiCGSTAB algorithm / streaming video / caching / SRAM / image processing algorithms / image processing / DSP / Cholesky decomposition algorithm / mobile devices / / URL http /
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1 Evaluation and FPGA Implementation of Sparse Linear Solvers for Video Processing Applications Pierre Greisen, Marian Runo, Patrice Guillet, Simon Heinzle, Aljoscha Smolic, Hubert Kaeslin, Markus Gross