Staging for Generic Programming in Space and Time
Metaprogramming is among the most promising candidates to solve the abstraction vs performance trade-off that plagues software engineering through specialization. Metaprogramming has been used to enable low-overhead generic programming for a long time, with C++ templates being one of the most prominent examples. But often a single, fixed pattern of specialization is not enough, and more flexibility is needed. Hence, this paper seeks to apply generic programming techniques to challenges in metaprogramming, in particular to abstract over the execution stage of individual program expressions. We thus extend the scope of generic programming into the dimension of time. The resulting notion of stage polymorphism enables novel abstractions in the design of program generators, which we develop and explore in this paper. We present one possible implementation, in Scala using the lightweight modular staging (LMS) framework, and apply it to two important case studies: convolution on images and the fast Fourier transform (FFT).
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10:30 - 12:00 | |||
10:30 25mTalk | Refining Semantics for Multi-stage Programming GPCE 2017 DOI Authorizer link | ||
10:55 25mTalk | Staging for Generic Programming in Space and Time GPCE 2017 DOI Authorizer link | ||
11:20 25mTalk | Staging with Control: Type-Safe Multi-stage Programming with Control Operators GPCE 2017 DOI Authorizer link | ||
11:45 15mTalk | Code Staging in GNU GuixShort paper GPCE 2017 Ludovic Courtès Inria, France DOI Authorizer link |