Semantics and scheduling for machine knitting compilers (2023)
Carnegie Mellon Textiles Lab develops formal semantics for knitout, enhancing machine knitting precision. Research by Lin et al. in ACM Transactions on Graphics establishes robust foundations for compiling and optimizing knit programs.
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The Carnegie Mellon Textiles Lab has introduced a formal semantics for knitout, a Domain Specific Language for knitting machines. This innovation aims to address the limitations of existing representations for machine knitted objects, which often lack completeness or fail to consider symmetries and equivalences among knitting instruction sequences. By utilizing the fenced tangle concept from knot theory, the lab's work enables a mathematical definition of knitting program equivalence that aligns with the intuition behind knit objects. The formal representation allows for proving the correctness of rewrite rules and demonstrates how these rules can be foundational for compiling programs for specific machines and optimizing for time and reliability. By establishing formal definitions of correctness, this research provides a robust basis for compiling and optimizing knit programs. The paper detailing this work, authored by Jenny Lin, Vidya Narayanan, Yuka Ikarashi, Jonathan Ragan-Kelley, Gilbert Bernstein, and James McCann, is published in the ACM Transactions on Graphics.
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3 commentsPeople who can decompile a jumper into its instruction set amaze me. Some of them can adjust the parameter stack on the fly to fix errors, or tailor the fit, or cope with changes in the wool.
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