We present a novel programming language design that attempts to combine the clarity and
safety of high-level functional languages with the efficiency and parallelism of low-level …

This paper studies architecting query compilers. The state of the art in query compiler
construction is lagging behind that in the compilers field. We attempt to remedy this by …

Over the past decade, distributed dataflow systems (DDS) have become a standard
technology. In these systems, users write programs in restricted dataflow programming …

Machine learning (ML) pipelines for model training and validation typically include
preprocessing, such as data cleaning and feature engineering, prior to training an ML …

Metaprograms are programs that manipulate (generate, analyze and evaluate) other
programs. These tasks are greatly facilitated by quasiquotation, a technique to construct and …

Go Meta! A Case for Generative Programming and DSLs in Performance Critical Systems
Page 1 ETH Library Go Meta! A Case for Generative Programming and DSLs in Performance …

We present a higher-order module system for the purely functional data-parallel array
language Futhark. The module language has the property that it is completely eliminated at …

Implementations of domain-specific languages should offer both extensibility and
performance optimizations. With the new syntax-spec metalanguage in Racket …

Staging has proved a successful technique for programmatically removing code
abstractions, thereby allowing for faster program execution while retaining a high-level …

Parallel dataflow engines such as Apache Hadoop, Apache Spark, and Apache Flink are an
established alternative to relational databases for modern data analysis applications. A …