An introduction to SequenceL: a language to experiment with constructs for processing nonscalars
Software—Practice & Experience
Automatic parallel control structures in SequenceL
Software—Practice & Experience
Scrap your boilerplate: a practical design pattern for generic programming
Proceedings of the 2003 ACM SIGPLAN international workshop on Types in languages design and implementation
Functional Programming with Bananas, Lenses, Envelopes and Barbed Wire
Proceedings of the 5th ACM Conference on Functional Programming Languages and Computer Architecture
Scrap more boilerplate: reflection, zips, and generalised casts
Proceedings of the ninth ACM SIGPLAN international conference on Functional programming
Normalize, transpose, and distribute: An automatic approach for handling nonscalars
ACM Transactions on Programming Languages and Systems (TOPLAS)
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We present a high level language called SequenceL. The language allows a programmer to describe functions in terms of abstract relationships between their inputs and outputs, and the semantics of the language are capable of automatically discovering and implementing the required algorithms, including iterative and parallel control structures in many cases. Current implementations do not produce code of comparable efficiency to that of a good human programmer. Current implementations can, however, be used as a tool to guide human programmers in discovering and comparing options for parallelizing their solutions. This paper describes the language and approach, and illustrates this kind of guidance with a simple example.