Tiark Rompf

Cette personne n’est plus à l’EPFL

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (28)

Unifying Functional and Object-Oriented Programming with Scala

Martin Odersky, Tiark Rompf

Assoc Computing Machinery2014

Foundations of Path-Dependent Types

Martin Odersky, Tiark Rompf, Nada Amin

A scalable programming language is one in which the same concepts can describe small as well as large parts. Towards this goal, Scala unifies concepts from object and module systems. An essential ingredient of this unification is the concept of objects wit ...

Assoc Computing Machinery2014

Forge: Generating a High Performance DSL Implementation from a Declarative Specification

Martin Odersky, Tiark Rompf

Domain-specific languages provide a promising path to automatically compile high-level code to parallel, heterogeneous, and distributed hardware. However, in practice high performance DSLs still require considerable software expertise to develop and force ...

Assoc Computing Machinery2014

Spiral in Scala: Towards the Systematic Construction of Generators for Performance Libraries

Martin Odersky, Tiark Rompf, Alen Stojanov

Program generators for high performance libraries are an appealing solution to the recurring problem of porting and optimizing code with every new processor generation, but only few such generators exist to date. This is due to not only the difficulty of t ...

Assoc Computing Machinery2014

Staged Parser Combinators for Efficient Data Processing

Martin Odersky, Tiark Rompf, Sandro Stucki, Manohar Jonnalagedda, Thierry Coppey

Parsers are ubiquitous in computing, and many applications depend on their performance for decoding data efficiently. Parser combinators are an intuitive tool for writing parsers: tight integration with the host language enables grammar specifications to b ...

Assoc Computing Machinery2014

Building Efficient Query Engines in a High-Level Language

Christoph Koch, Ioannis Klonatos, Tiark Rompf, Hassan Chafi

In this paper we advocate that it is time for a radical rethinking of database systems design. Developers should be able to leverage high-level programming languages without having to pay a price in efficiency. To realize our vision of abstraction without ...

2014

What are the Odds? Probabilistic programming in Scala

Tiark Rompf, Nada Amin, Sandro Stucki, Manohar Jonnalagedda

Probabilistic programming is a powerful high-level paradigm for probabilistic modeling and inference. We present Odds, a small domain-specific language (DSL) for probabilistic programming, embedded in Scala. Odds provides first-class support for random var ...

ACM2013

Scala-Virtualized: Linguistic Reuse for Deep Embeddings

Martin Odersky, Tiark Rompf, Philipp Haller, Nada Amin

Scala-Virtualized extends the Scala language to better support hosting embedded DSLs. Scala is an expressive language that provides a flexible syntax, type-level computation using implicits, and other features that facilitate the development of em- bedded ...

Springer Verlag2013

Optimizing Data Structures in High-Level Programs New Directions for Extensible Compilers based on Staging

Martin Odersky, Tiark Rompf, Nada Amin, Vojin Jovanovic, Manohar Jonnalagedda

High level data structures are a cornerstone of modern programming and at the same time stand in the way of compiler optimizations. In order to reason about user or library-defined data structures, compilers need to be extensible. Common mechanisms to exte ...

Assoc Computing Machinery2013

Lightweight Modular Staging and Embedded Compilers : Abstraction without Regret for High-Level High-Performance Programming

Tiark Rompf

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. B ...

EPFL2012

Page 2 sur 3

Lightweight Modular Staging and Embedded Compilers : Abstraction without Regret for High-Level High-Performance Programming

Tiark Rompf

EPFL2012