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Sundials/ML: Connecting OCaml to the Sundials Numeric Solvers

Authors: Bourke, Timothy; Inoue, Jun; Pouzet, Marc;

Sundials/ML: Connecting OCaml to the Sundials Numeric Solvers

Abstract

This paper describes the design and implementation of a comprehensive OCaml interface to the Sundials library of numeric solvers for ordinary differential equations, differential algebraic equations, and non-linear equations. The interface provides a convenient and memory-safe alternative to using Sundials directly from C and facilitates application development by integrating with higher-level language features, like garbage-collected memory management, algebraic data types, and exceptions. Our benchmark results suggest that the interface overhead is acceptable: the standard examples are rarely twice as slow in OCaml than in C, and often less than 50% slower. The challenges in interfacing with Sundials are to efficiently and safely share data structures between OCaml and C, to support multiple implementations of vector operations and linear solvers through a common interface, and to manage calls and error signalling to and from OCaml. We explain how we overcame these difficulties using a combination of standard techniques such as phantom types and polymorphic variants, and carefully crafted data representations.

In Proceedings ML/OCAML 2016, arXiv:1812.10891

Country
France
Keywords

FOS: Computer and information sciences, Computer Science - Programming Languages, OCaml, QA75.5-76.95, Numeric simulation, [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL], [INFO.INFO-MS] Computer Science [cs]/Mathematical Software [cs.MS], [INFO.INFO-NA] Computer Science [cs]/Numerical Analysis [cs.NA], Electronic computers. Computer science, QA1-939, Computer Science - Mathematical Software, Mathematical Software (cs.MS), Mathematics, Programming Languages (cs.PL)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
gold