Algorithm specialization in generic programming

Author:

Järvi Jaakko1,Gregor Douglas2,Willcock Jeremiah2,Lumsdaine Andrew2,Siek Jeremy3

Affiliation:

1. Texas A&M University

2. Indiana University

3. Rice University

Abstract

Generic programming has recently emerged as a paradigm for developing highly reusable software libraries, most notably in C++. We have designed and implemented a constrained generics extension for C++ to support modular type checking of generic algorithms and to address other issues associated with unconstrained generics. To be as broadly applicable as possible, generic algorithms are defined with minimal requirements on their inputs. At the same time, to achieve a high degree of efficiency, generic algorithms may have multiple implementations that exploit features of specific classes of inputs. This process of algorithm specialization relies on non-local type information and conflicts directly with the local nature of modular type checking. In this paper, we review the design and implementation of our extensions for generic programming in C++, describe the issues of algorithm specialization and modular type checking in detail, and discuss the important design tradeoffs in trying to accomplish both.We present the particular design that we chose for our implementation, with the goal of hitting the sweet spot in this interesting design space.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Extending Type Inference to Variational Programs;ACM Transactions on Programming Languages and Systems;2014-03

2. Synergies in scientific computing by combining multi-paradigmatic languages for high-performance applications;International Journal of Parallel, Emergent and Distributed Systems;2009-12

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