Implementation Architecture and Multithreaded Runtime System of S-Net

Grelck, Clemens; Penczek, Frank

doi:10.1007/978-3-642-24452-0_4

Cited by 9 publications

(6 citation statements)

References 17 publications

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“…The implementation consists of a compiler including a type inference system [23], a multithreaded runtime system for shared memory architectures [24] and on top of that an MPI-based runtime system extension for distributed and hybrid memory architectures [25].…”

Section: Discussionmentioning

confidence: 99%

Asynchronous Stream Processing with S-Net

Grelck

Scholz

Shafarenko

2010

Int J Parallel Prog

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We present the rationale and design of S-Net, a coordination language for asynchronous stream processing. The language achieves a near-complete separation between the application code, written in any conventional programming language, and the coordination/communication code written in S-Net. Our approach supports a component technology with flexible software reuse. No extension of the conventional language is required. The interface between S-Net and the application code is in terms of one additional library function. The application code is componentised and presented to S-Net as a set of components, called boxes, each encapsulating a single tuple-to-tuple function. Apart from the boxes defined using an external compute language, S-Net features two built-in boxes: one for network housekeeping and one for data-flow style synchronisation. Streaming network composition under S-Net is based on four network combinators, which have both deterministic and nondeterministic versions. Flexible software reuse is comprehensive, with the box interfaces and even the network structure being subject to subtyping. We propose an inheritance mechanism, named flow inheritance, that is specifically geared towards stream

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Section: Discussionmentioning

confidence: 99%

Asynchronous Stream Processing with S-Net

Grelck

Scholz

Shafarenko

2010

Int J Parallel Prog

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“…What we need instead of a one-to-one mapping of boxes to compute nodes is a veritable distribution layer within an S-NET network where coarse-grained network islands are mapped to different compute nodes while within each such node networks execute using the existing shared memory multi-threaded runtime system [6]. Each of these islands consists of a number of not necessarily contiguous networks of components that interact via shared-memory internally.…”

Section: Distributed S-netmentioning

confidence: 99%

“…Accordingly, we leave the exact mapping of logical nodes to physical resources to the MPI implementation. The Distributed S-NET runtime system is built as a separate layer on top of our existing shared memory runtime system [6]. None of the existing components of the shared memory runtime system is actually aware of the distributed memory layer.…”

Section: Distributed S-net Runtime Systemmentioning

confidence: 99%

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Distributed S-Net: Cluster and Grid Computing without the Hassle

Grelck

Julku

Penczek³

2012

2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (Ccgrid 2012)

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S-NET is a declarative coordination language and component technology primarily aimed at modern multicore/many-core chip architectures. It builds on the concept of stream processing to structure dynamically evolving networks of communicating asynchronous components. Components themselves are implemented using a conventional language suitable for the application domain.We present the design and implementation of Distributed S-NET, a conservative extension of S-NET geared towards distributed memory architectures ranging from many-core chip architectures with hierarchical memory organizations to more traditional clusters of workstations, supercomputers and grids.Three case studies illustrate how to use Distributed S-NET to implement different models of parallel execution. Runtimes obtained on a workstation cluster demonstrate how Distributed S-NET allows programmers with little or no background in parallel programming to make effective use of distributed memory architectures with minimal programming effort.

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“…As data movement is then exposed in the language semantics, mapping and managing the application to parallel platforms becomes simpler. S-Net is specified in [13,10] and has been reported on in many published works, including [2,4,5,3,6,9,1,8,14,15].…”

Section: Introductionmentioning

confidence: 99%

S+Net: extending functional coordination with extra-functional semantics

Poss¹,

Verstraaten²,

Penczek³

et al. 2013

Preprint

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This technical report introduces S + Net, a compositional coordination language for streaming networks with extra-functional semantics. Compositionality simplifies the specification of complex parallel and distributed applications; extra-functional semantics allow the application designer to reason about and control resource usage, performance and fault handling.The key feature of S + Net is that functional and extra-functional semantics are defined orthogonally from each other. S + Net can be seen as a simultaneous simplification and extension of the existing coordination language S-Net, that gives control of extra-functional behavior to the S-Net programmer. S + Net can also be seen as a transitional research step between S-Net and AstraKahn, another coordination language currently being designed at the University of Hertfordshire. In contrast with AstraKahn which constitutes a re-design from the ground up, S + Net preserves the basic operational semantics of S-Net and thus provides an incremental introduction of extra-functional control in an existing language.

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Implementation Architecture and Multithreaded Runtime System of S-Net

Cited by 9 publications

References 17 publications

Asynchronous Stream Processing with S-Net

Asynchronous Stream Processing with S-Net

Distributed S-Net: Cluster and Grid Computing without the Hassle

S+Net: extending functional coordination with extra-functional semantics

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