Archetype data parallel or task parallel applications are well served by contemporary languages. However, for applications containing a balance of task and data parallelism the choice of language is less clear. While there are languages that enable both forms of parallelism, e.g., one can write data parallel programs using a task parallel language, there are few languages which support both. We...

Preface The research presented in this thesis done in the context of the " Parallel Natural Language Interfaces " subproject of the IMPACT project. The IMPACT project was headed by the ING bank and founded by the organization for High Performance Computing and Networking (HPCN), itself partly funded by NWO. The goal of this subproject was to improve the performance of natural language interface...

Chapel is a new global-view parallel programming language developed by Cray Inc. that represents a new direction in programming parallel machines. In this paper, we present two data parallel and two task parallel algorithms written in Chapel to show the effectiveness of the language in specifying parallel algorithm and computation.

In this paper we introduce new parallel programming language Parallel C#, the main feature of which is the combination of chords and higher-order functions in one language. This language extends the standard syntax of C# language for the parallel programming needs and simplifies the task of writing complex multithreaded and distributed applications. We describe the design of the language and gi...

We introduce a domain-specific language, GRAph PArallel Actor Language, that enablesparallel graph algorithms to be written in a natural, high-level form. GRAPAL is based onour GraphStep compute model, which enables a wide range of parallel graph algorithmsthat are high-level, deterministic, free from race conditions, and free from deadlock. Pro-grams written in GRAPAL are easy ...

Maisie is a C-based discrete-event simulation language that was designed to cleanly separate a simulation model from the underlying algorithm (sequential or parallel) used for the execution of the model. With few modi cations, a Maisie program may be executed using a sequential simulation algorithm, a parallel conservative algorithm or a parallel optimistic algorithm. The language constructs al...

Research in data-driven methods for Machine Translation has greatly benefited from the increasing availability of parallel corpora. Processing the same text in two different languages yields useful information on how words and phrases are translated from a source language into a target language. To investigate this, a parallel corpus is typically aligned by linking linguistic tokens in the sour...

A two phase research project is proposed involving the modeling and implementation of parallel algorithms for the primitive operations which constitute the J programming language. Subject Areas: Modeling Parallel Computation J Programming Language, Parallel Computation.

increasing availability of parallel corpora. Processing the same text in two different languages yields useful information on how words and phrases are translated from a source language into a target language. To investigate this, a parallel corpus is typically aligned by linking linguistic tokens in the source language to the corresponding units in the target language. An aligned parallel corp...