Person

Tiark Rompf

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Related publications (37)

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Developing high-performance software is a difficult task that requires the use of low-level, architecture-specific programming models (e.g., OpenMP for CMPs, CUDA for GPUs, MPI for clusters). It is typically not possible to write a single application that ...

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

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 ...

ACM Press2014

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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

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

Computing with an SMT Solver

Tiark Rompf, Nada Amin

Satisfiability modulo theories (SMT) solvers that support quantifier instantiations via matching triggers can be programmed to give practical support for user-defined theories. Care must be taken to avoid so-called matching loops, which may prevent termina ...

2014

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

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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

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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