4 research outputs found
Program Transformations in Magnolia
We explore program transformations in the context of the Magnolia programming language. We discuss research and implementations of transformation techniques, scenarios to put them to use in Magnolia, interfacing with transformations, and potential workflows and tooling that this approach to programming enables.Vi utforsker program transformasjoner med tanke på programmeringsspråket Magnolia. Vi diskuterer forsking og implementasjoner av transformasjonsteknikker, sammenhenger der vi kan bruke dei i Magnolia, grensesnitt til transformasjoner, og potensielle arbeidsflyt og verktøy som denne tilnærmingen til programmering kan tillate og fremme.Masteroppgåve i informatikkINF39
Lightweight Modular Staging and Embedded Compilers:Abstraction without Regret for High-Level High-Performance Programming
Programs expressed in a high-level programming language need to be translated to a low-level machine dialect for execution. This translation is usually accomplished by a compiler, which is able to translate any legal program to equivalent low-level code. But for individual source programs, automatic translation does not always deliver good results: Software engineering practice demands generalization and abstraction, whereas high performance demands specialization and concretization. These goals are at odds, and compilers can only rarely translate expressive high-level programs tomodern hardware platforms in a way that makes best use of the available resources. Explicit program generation is a promising alternative to fully automatic translation. Instead of writing down the program and relying on a compiler for translation, developers write a program generator, which produces a specialized, efficient, low-level program as its output. However, developing high-quality program generators requires a very large effort that is often hard to amortize. In this thesis, we propose a hybrid design: Integrate compilers into programs so that programs can take control of the translation process, but rely on libraries of common compiler functionality for help. We present Lightweight Modular Staging (LMS), a generative programming approach that lowers the development effort significantly. LMS combines program generator logic with the generated code in a single program, using only types to distinguish the two stages of execution. Through extensive use of component technology, LMS makes a reusable and extensible compiler framework available at the library level, allowing programmers to tightly integrate domain-specific abstractions and optimizations into the generation process, with common generic optimizations provided by the framework. Compared to previous work on programgeneration, a key aspect of our design is the use of staging not only as a front-end, but also as a way to implement internal compiler passes and optimizations, many of which can be combined into powerful joint simplification passes. LMS is well suited to develop embedded domain specific languages (DSLs) and has been used to develop powerful performance-oriented DSLs for demanding domains such as machine learning, with code generation for heterogeneous platforms including GPUs. LMS has also been used to generate SQL for embedded database queries and JavaScript for web applications
Analysis Techniques for Concurrent Programming Languages
Los lenguajes concurrentes est an cada d a m as presentes en nuestra sociedad,
tanto en las nuevas tecnolog as como en los sistemas utilizados de manera cotidiana. M as a un, dada la actual distribuci on de los sistemas y su arquitectura interna,
cabe esperar que este hecho siga siendo una realidad en los pr oximos a~nos. En
este contexto, el desarrollo de herramientas de apoyo al desarrollo de programas
concurrentes se vuelve esencial. Adem as, el comportamiento de los sistemas concurrentes es especialmente dif cil de analizar, por lo que cualquier herramienta que
ayude en esta tarea, a un cuando sea limitada, ser a de gran utilidad. Por ejemplo, podemos encontrar herramientas para la depuraci on, an alisis, comprobaci on,
optimizaci on, o simpli caci on de programas. Muchas de ellas son ampliamente
utilizadas por los programadores hoy en d a.
El prop osito de esta tesis es introducir, a trav es de diferentes lenguajes de
programaci on concurrentes, t ecnicas de an alisis que puedan ayudar a mejorar la
experiencia del desarrollo y publicaci on de software para modelos concurrentes.
En esta tesis se introducen tanto an alisis est aticos (aproximando todas las posibles ejecuciones) como din amicos (considerando una ejecuci on en concreto). Los
trabajos aqu propuestos di eren lo su ciente entre s para constituir ideas totalmente independientes, pero manteniendo un nexo com un: el hecho de ser un
an alisis para un lenguaje concurrente. Todos los an alisis presentados han sido
de nidos formalmente y se ha probado su correcci on, asegurando que los resultados obtenidos tendr an el grado de abilidad necesario en sistemas que lo requieran,
como por ejemplo, en sistemas cr ticos. Adem as, se incluye la descripci on de las
herramientas software que implementan las diferentes ideas propuestas. Esto le da
al trabajo una utilidad m as all a del marco te orico, permitiendo poner en pr actica
y probar con ejemplos reales los diferentes an alisis.
Todas las ideas aqu presentadas constituyen, por s mismas, propuestas aplicables en multitud de contextos y problemas actuales. Adem as, individualmente sirven de punto de partida para otros an alisis derivados, as como para la adaptaci on
a otros lenguajes de la misma familia. Esto le da un valor a~nadido a este trabajo,
como bien atestiguan algunos trabajos posteriores que ya se est an bene ciando de
los resultados obtenidos en esta tesis.Concurrent languages are increasingly present in our society, both in new
technologies and in the systems used on a daily basis. Moreover, given the
current systems distribution and their internal architecture, one can expect
that this remains so in the coming years. In this context, the development of
tools to support the implementation of concurrent programs becomes essential.
Futhermore, the behavior of concurrent systems is particularly difficult
to analyse, so that any tool that helps in this task, even if in a limited way,
will be very useful. For example, one can find tools for debugging, analysis,
testing, optimisation, or simplification of programs, which are widely used
by programmers nowadays.
The purpose of this thesis is to introduce, through various concurrent programming
languages, some analysis techniques that can help to improve the
experience of the software development and release for concurrent models.
This thesis introduces both static (approximating all possible executions) and
dynamic (considering a specific execution) analysis. The topics considered
here differ enough from each other to be fully independent. Nevertheless,
they have a common link: they can be used to analyse properties of a concurrent
programming language. All the analyses presented here have been
formally defined and their correctness have been proved, ensuring that the
results will have the reliability degree which is needed for some systems (for
instance, for critical systems). It also includes a description of the software
tools that implement the different ideas proposed. This gives the work a usefulness
well beyond the theoretical aspect, allowing us to put it in practice
and to test the different analyses with real-world examples All the ideas here presented are, by themselves, approaches that can be applied
in many current contexts and problems. Moreover, individually they
serve as a starting point for other derived analysis, as well as for the adaptation
to other languages of the same family. This gives an added value to
this work, a fact confirmed by some later works that are already benefiting
from the results obtained in this thesis.Tamarit Muñoz, S. (2013). Analysis Techniques for Concurrent Programming Languages [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/31651TESI