Data and task parallelism in ILP using MapReduce

Programming Data and Task Parallelism with Chapel

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.

Integrating task and data parallelism with taskHPF

Approaches for integrating task and data parallelism

Languages that support both task and data parallelism are highly general and can exploit both forms of parallelism within a single application. However, integrating the two forms of paral-lelism cleanly and within a coherent programming model is diicult. This paper describes four languages (Fx, Opus, Orca, and Braid) that try to achieve such an integration and identiies several problems. The ma...

Braid: Integrating Task and Data Parallelism]

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...

Integrated Support for Task and Data Parallelism

We present an overview of research at the CRPC designed to provide an e cient, portable programmingmodel for scienti c applications possessing both task and data parallelism. Fortran M programs exploit task parallelism by providing language extensions for user-de ned process management and typed communication channels. A combination of compiler and run-time system support ensures modularity, sa...