29,832 research outputs found
The torus: an exercise in constructing a processing surface
A "Processing Surface" is defined as a large, dense, and
regular arrangement of processor and storage modules on a two-dimensional surface, e.g. a VLSI chip. A general method is described for distributing parallel recursive computations over such a surface. Scope rules enforcing
the "locality" of variables and procedure parameters are introduced in the programming language. These rules and a particular interconnection of the modules on the surface make it possible to transmit parameter and variable
values between modules without using extraneous communication actions.
The choice of the Processing Surface topology for binary recursive computations is discussed and a torus-like topology is chosen
Mixin modules in a call-by-value setting
International audienceThe ML module system provides powerful parameterization facilities, but lacks the ability to split mutually recursive definitions across modules, and does not provide enough facilities for incremental programming. A promising approach to solve these issues is Ancona and Zucca's mixin modules calculus CMS. However, the straightforward way to adapt it to ML fails, because it allows arbitrary recursive definitions to appear at any time, which ML does not support. In this paper, we enrich CMS with a refined type system that controls recursive definitions through the use of dependency graphs. We then develop a separate compilation scheme, directed by dependency graphs, that translates mixin modules down to a CBV lambda-calculus extended with a non-standard let rec construct
Promoting Modular Nonmonotonic Logic Programs
Modularity in Logic Programming has gained much attention over the past years. To date, many formalisms have been proposed that feature various aspects of modularity. In this paper, we present our current work on Modular Nonmonotonic Logic Programs (MLPs), which are logic programs under answer set semantics with modules that have contextualized input provided by other modules. Moreover, they allow for (mutually) recursive module calls. We pinpoint issues that are present in such cyclic module systems and highlight how MLPs addresses them
Bricklayer: An Authentic Introduction to the Functional Programming Language SML
Functional programming languages are seen by many as instrumental to
effectively utilizing the computational power of multi-core platforms. As a
result, there is growing interest to introduce functional programming and
functional thinking as early as possible within the computer science
curriculum. Bricklayer is an API, written in SML, that provides a set of
abstractions for creating LEGO artifacts which can be viewed using LEGO Digital
Designer. The goal of Bricklayer is to create a problem space (i.e., a set of
LEGO artifacts) that is accessible and engaging to programmers (especially
novice programmers) while providing an authentic introduction to the functional
programming language SML.Comment: In Proceedings TFPIE 2014, arXiv:1412.473
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