Suchergebnisse - Task-based dataflow programming models
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Multi-GPU work sharing in a task-based dataflow programming model
ISSN: 0167-739X, 1872-7115Veröffentlicht: Netherlands Elsevier B.V 01.07.2024Veröffentlicht in Future generation computer systems (01.07.2024)“… shared memory and message-passing paradigms. In this aspect, the task-based dataflow programming model has emerged as an alternative for multi-GPU computing nodes …”
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General Purpose Task-Dependence Management Hardware for Task-Based Dataflow Programming Models
ISSN: 1530-2075Veröffentlicht: IEEE 01.05.2017Veröffentlicht in Proceedings - IEEE International Parallel and Distributed Processing Symposium (01.05.2017)“… Task-based programming models such as OpenMP, IntelTBB and OmpSs offer the possibility of expressing dependences among tasks to drive their execution at runtime …”
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A programming model for Hybrid Workflows: Combining task-based workflows and dataflows all-in-one
ISSN: 0167-739XVeröffentlicht: Elsevier B.V 01.12.2020Veröffentlicht in Future generation computer systems (01.12.2020)“… ). To implement these workflows, developers are currently using different patterns; mainly task-based and dataflow …”
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Picos, A Hardware Task-Dependence Manager for Task-Based Dataflow Programming Models
ISBN: 1538632497, 9781538632499Veröffentlicht: IEEE 01.07.2017Veröffentlicht in 2017 International Conference on High Performance Computing & Simulation (HPCS) (01.07.2017)“… Task-based programming Task-based programming models such as OpenMP, Intel TBB and OmpSs are widely used to extract high level of parallelism of applications executed on multi-core and manycore platforms …”
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Dato: A Task-Based Programming Model for Dataflow Accelerators
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 08.09.2025Veröffentlicht in arXiv.org (08.09.2025)“… and forcing compilers to reconstruct the intended dataflow. We present Dato, a Python-embedded, task-based programming model for dataflow accelerators that elevates data communication and sharding to first-class type constructs …”
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Performance analysis of a hardware accelerator of dependence management for task-based dataflow programming models
Veröffentlicht: IEEE 01.04.2016Veröffentlicht in 2016 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) (01.04.2016)“… Along with the popularity of multicore and manycore, task-based dataflow programming models obtain great attention for being able to extract high parallelism from applications without exposing …”
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Dynamic Load Balancing and Elasticity in a Distributed Heterogeneous Task-Based Dataflow Runtime
ISBN: 9798290638348Veröffentlicht: ProQuest Dissertations & Theses 01.01.2024“… Scientific computing software in high performance computing (HPC) has relied heavily on process-centric distributed programming models for over thirty years …”
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A Programming Model for Hybrid Workflows: combining Task-based Workflows and Dataflows all-in-one
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 09.07.2020Veröffentlicht in arXiv.org (09.07.2020)“… To illustrate the capabilities of Hybrid Workflows, we have built a Distributed Stream Library and a fully functional prototype extending COMPSs, a mature, general-purpose, task-based, parallel programming model …”
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Fault-Tolerant Protocol for Hybrid Task-Parallel Message-Passing Applications
ISSN: 1552-5244Veröffentlicht: IEEE 01.09.2015Veröffentlicht in Proceedings / IEEE International Conference on Cluster Computing (01.09.2015)“… The protocol is implemented in Nanos -- a dataflow runtime for task-based OmpSs programming model -- and the PMPI profiling layer to fully support hybrid OmpSs+MPI applications …”
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Task-based execution of synchronous dataflow graphs for scalable multicore computing
ISSN: 2374-7390Veröffentlicht: IEEE 01.10.2017Veröffentlicht in SiPS ... design and implementation - IEEE Workshop on Signal Processing Systems (01.10.2017)“… In this paper we propose an optimization of the parallel code generation process by combining dataflow and task programming models …”
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Evaluation of dataflow programming models for electronic structure theory
ISSN: 1532-0626, 1532-0634Veröffentlicht: Hoboken Wiley Subscription Services, Inc 10.09.2018Veröffentlicht in Concurrency and computation (10.09.2018)“… Summary Dataflow programming models have been growing in popularity as a means to deliver a good balance between performance and portability in the post‐petascale era …”
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Integrating Dataflow Abstractions into the Shared Memory Model
ISBN: 1467347906, 9781467347907ISSN: 1550-6533Veröffentlicht: IEEE 01.10.2012Veröffentlicht in 2012 IEEE 24th International Symposium on Computer Architecture and High Performance Computing (01.10.2012)“… In this paper we present Atomic Dataflow model (ADF), a new task-based parallel programming model for C/C++ …”
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NanoCheckpoints: A Task-Based Asynchronous Dataflow Framework for Efficient and Scalable Checkpoint/Restart
ISSN: 1066-6192Veröffentlicht: IEEE 01.03.2015Veröffentlicht in Proceedings - Euromicro Workshop on Parallel and Distributed Processing (01.03.2015)“… We leverage OmpSs, a task-based OpenMP derivative programming model (PM) and its Nanos asynchronous dataflow runtime …”
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Loop level speculation in a task based programming model
ISSN: 1094-7256Veröffentlicht: IEEE 01.12.2013Veröffentlicht in 20th Annual International Conference on High Performance Computing (01.12.2013)“… Uncountable loops (such as while loops in C) and if-conditions are some of the most common constructs in programming …”
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Distributed Work Stealing in a Task-Based Dataflow Runtime
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 09.11.2022Veröffentlicht in arXiv.org (09.11.2022)“… The task-based dataflow programming model has emerged as an alternative to the process-centric programming model for extreme-scale applications …”
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Extension of a Task-Based Model to Functional Programming
ISSN: 2643-3001Veröffentlicht: IEEE 01.10.2019Veröffentlicht in Proceedings (Symposium on Computer Architecture and High Performance Computing) (01.10.2019)“… ) and massive data processing (Big Data). Traditional HPC frameworks, like COMPSs, are mostly task-based, while popular big-data environments, like Spark, are based on functional programming principles …”
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Efficient Task-Based Code Generation for SDF Graph Execution on Multicore Processors
Veröffentlicht: IEEE 01.10.2018Veröffentlicht in DASIP : 2018 Conference on Design and Architectures for Signal and Image Processing : 10-12 October 2018, Porto, Portugal (01.10.2018)“… One of the promising techniques that have been proposed to address this problem is the correlation of dataflow and task programming models …”
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Pushing the Boundaries of Small Tasks: Scalable Low-Overhead Data-Flow Programming in TTG
ISSN: 2168-9253Veröffentlicht: IEEE 01.09.2022Veröffentlicht in Proceedings / IEEE International Conference on Cluster Computing (01.09.2022)“… Task-based programming models, in particular, are well-suited to cope with the ubiquitous multi- and many-core systems since they allow applications to express all available concurrency …”
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A survey on the Distributed Computing stack
ISSN: 1574-0137Veröffentlicht: Elsevier Inc 01.11.2021Veröffentlicht in Computer science review (01.11.2021)“… Application Development (including Task-based Workflows, Dataflows, and Graph Processing), Platform (including Data Sharing and Resource Management …”
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Architectural support for task scheduling: hardware scheduling for dataflow on NUMA systems
ISSN: 0920-8542, 1573-0484Veröffentlicht: New York Springer US 01.06.2015Veröffentlicht in The Journal of supercomputing (01.06.2015)“… Software-only schedulers can implement various scheduling policies and algorithms that match the characteristics of different applications and programming models …”
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