140 research outputs found

    Compositional Computational Reflection

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    Current work on computational reflection is single-minded; each reflective procedure is written with a specific application or scope in mind. Composition of these reflective procedures is done by a proof- generating tactic language such as Ltac. This composition, however, comes at the cost of both larger proof terms and redundant preprocessing. In this work, we propose a methodology for writing composable reflective procedures that solve many small tasks in a single invocation. The key technical insights are techniques for reasoning semantically about extensible syntax in intensional type theory. Our techniques make it possible to compose sound procedures and write generic procedures parametrized by lemmas mimicking Coq’s support for hint databases.Engineering and Applied Science

    A Virtual Data Grid for LIGO

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    GriPhyN (Grid Physics Network) is a large US collaboration to build grid services for large physics experiments, one of which is LIGO, a gravitational-wave observatory. This paper explains the physics and computing challenges of LIGO, and the tools that GriPhyN will build to address them. A key component needed to implement the data pipeline is a virtual data service; a system to dynamically create data products requested during the various stages. The data could possibly be already processed in a certain way, it may be in a file on a storage system, it may be cached, or it may need to be created through computation. The full elaboration of this system will al-low complex data pipelines to be set up as virtual data objects, with existing data being transformed in diverse ways

    Compiler of a Language with User-Defined Syntax for New Constructs

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    Tato práce si klade za cíl navrhnout a implementovat experimentální programovací jazyk s podporou uživatelsky definovaných syntaktických konstrukcí. Nový jazyk je kompilován do nativní binární podoby a vyžaduje statickou typovou disciplínu v době překladu. Jazyk se skládá ze dvou hlavních komponent. První z nich je minimalistické jádro založené na principech zásobníkově orientovaných jazyků. Druhou částí je mechanismus pro definici nových syntaktických konstrukcí uživatelem. Poté jsou shrnuty poznatky nabyté při návrhu a experimentování s prototypem překladače tohoto jazyka.This project aims to design and implement an experimental programming language. The main feature of the language shall be the ability of the user to define new syntactic constructs. The language shall be statically typed and compiled to a native binary form. The language consists of two parts. The first part is a minimalistic core based on the principles of stack-oriented languages. The second part is a mechanism that lets users define new syntactic constructs. Then we elaborate on findings that have risen from design and experiments performed with the prototype implementation of the language.

    Meta-Packages: Painless Domain Specific Languages

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    Domain Specific Languages are used to provide a tailored modelling notation for a specific application domain. There are currently two main approaches to DSLs: standard notations that are tailored by adding simple properties; new notations that are designed from scratch. There are problems with both of these approaches which can be addressed by providing access to a small meta-language based on packages and classes. A meta-modelling approach based on meta-packages allows a wide range of DSLs to be defined in a standard way. The DSLs can be processed using standard object-based extension at the meta-level and existing tooling can easily be defined to adapt to the new languages. This paper introduces the concept of meta-packages and provides a simple example

    From missions to systems : generating transparently distributable programs for sensor-oriented systems

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    Early Wireless Sensor Networks aimed simply to collect as much data as possible for as long as possible. While this remains true in selected cases, the majority of future sensor network applications will demand much more intelligent use of their resources as networks increase in scale and support multiple applications and users. Specifically, we argue that a computational model is needed in which the ways that data flows through networks, and the ways in which decisions are made based on that data, is transparently distributable and relocatable as requirements evolve. In this paper we present an approach to achieving this using high-level mission specifications from which we can automatically derive transparently distributable programs.Postprin
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