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Reconfigurable hardware such as FPGAs are being increasingly employed for application acceleration due to their high degree of parallelism, flexibility and power efficiency — factors which are key in the rapidly evolving field of embedded real-time vision. While recent advances in technology have increased the capacity of FPGAs, lack of standard models for developing custom accelerators creates issues...
Gridding is a method of interpolating irregularly sampled data on to a uniform grid and is a critical image reconstruction step in several applications which operate on non-Cartesian sampled data. In this paper, we present an algorithm-architecture co-design framework for accelerating gridding using FPGAs. We present a parameterized hardware library for accelerating gridding to support both arbitrary...
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