Exploring Trade-Offs between Specialized Dataflow Kernels and a Reusable Overlay in a Stereo Matching Case Study

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">  Architecture </td><td align="center"> All sizes </td><td align="center"> SXGA-high </td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left"> MaxKern </td><td align="center"> 3.04 </td><td align="center"> 3.16 </td></tr><tr><td align="left">MaxFused </td><td align="center"> 2.41 </td><td align="center"> 2.48 </td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Normalized Kernel-Ratios (geometric mean of all kernel speedups, normalized with regard to compute resources and bandwidths) relative to CnyVecTouch.

International Journal of Reconfigurable Computing

tab7

Table 7

Table 7: Exploring Trade-Offs between Specialized Dataflow Kernels and a Reusable Overlay in a Stereo Matching Case Study 