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In the prequel to this paper, we presented a systematic framework forprocessing spline spaces. In this paper, we take the results of that frameworkand provide a code generation pipeline that automatically generates efficientimplementations of spline spaces. We decompose the final algorithm from Part Iand translate the resulting components into LLVM-IR (a low level language thatcan be compiled to various targets/architectures). Our design provides ahandful of parameters for a practitioner to tune - this is one of the avenuesthat provides us with the flexibility to target many different computationalarchitectures and tune performance on those architectures. We also provide anevaluation of the effect of the different parameters on performance.

Automatic Generation of Interpolants for Lattice Samplings: Part II -- Implementation and Code Generation