Search Results - Task-based dataflow programming models~
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Multi-GPU work sharing in a task-based dataflow programming model
ISSN: 0167-739X, 1872-7115Published: Netherlands Elsevier B.V 01.07.2024Published 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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Journal Article -
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General Purpose Task-Dependence Management Hardware for Task-Based Dataflow Programming Models
ISSN: 1530-2075Published: IEEE 01.05.2017Published 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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Conference Proceeding -
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A programming model for Hybrid Workflows: Combining task-based workflows and dataflows all-in-one
ISSN: 0167-739X, 1872-7115Published: Elsevier B.V 01.12.2020Published 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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Journal Article -
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Picos, A Hardware Task-Dependence Manager for Task-Based Dataflow Programming Models
ISBN: 1538632497, 9781538632499Published: IEEE 01.07.2017Published 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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Conference Proceeding -
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Performance analysis of a hardware accelerator of dependence management for task-based dataflow programming models
Published: IEEE 01.04.2016Published 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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Conference Proceeding -
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Dynamic Load Balancing and Elasticity in a Distributed Heterogeneous Task-Based Dataflow Runtime
ISBN: 9798290638348Published: 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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Dissertation -
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A Programming Model for Hybrid Workflows: combining Task-based Workflows and Dataflows all-in-one
ISSN: 2331-8422Published: Ithaca Cornell University Library, arXiv.org 09.07.2020Published 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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Paper -
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Performance analysis of a hardware accelerator of dependence management for taskbased dataflow programming models
ISBN: 1509019545, 9781509019540Published: Institute of Electrical and Electronics Engineers (IEEE) 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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Publication -
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Integrating Dataflow Abstractions into the Shared Memory Model
ISBN: 1467347906, 9781467347907ISSN: 1550-6533Published: IEEE 01.10.2012Published 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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Conference Proceeding -
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Fault-Tolerant Protocol for Hybrid Task-Parallel Message-Passing Applications
ISSN: 1552-5244Published: IEEE 01.09.2015Published 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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Conference Proceeding -
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Task-based execution of synchronous dataflow graphs for scalable multicore computing
ISSN: 2374-7390Published: IEEE 01.10.2017Published 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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Conference Proceeding -
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Evaluation of dataflow programming models for electronic structure theory
ISSN: 1532-0626, 1532-0634Published: Hoboken Wiley Subscription Services, Inc 10.09.2018Published 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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Journal Article -
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Loop level speculation in a task based programming model
ISSN: 1094-7256Published: IEEE 01.12.2013Published 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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Conference Proceeding -
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NanoCheckpoints: A Task-Based Asynchronous Dataflow Framework for Efficient and Scalable Checkpoint/Restart
ISSN: 1066-6192Published: IEEE 01.03.2015Published 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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Conference Proceeding Journal Article -
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Distributed Work Stealing in a Task-Based Dataflow Runtime
ISSN: 2331-8422Published: Ithaca Cornell University Library, arXiv.org 09.11.2022Published 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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Paper -
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Extension of a Task-Based Model to Functional Programming
ISSN: 2643-3001Published: IEEE 01.10.2019Published 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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Conference Proceeding -
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Efficient Task-Based Code Generation for SDF Graph Execution on Multicore Processors
Published: IEEE 01.10.2018Published 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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Conference Proceeding -
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Pushing the Boundaries of Small Tasks: Scalable Low-Overhead Data-Flow Programming in TTG
ISSN: 2168-9253Published: IEEE 01.09.2022Published 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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Conference Proceeding -
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A survey on the Distributed Computing stack
ISSN: 1574-0137Published: Elsevier Inc 01.11.2021Published 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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Journal Article -
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Architectural support for task scheduling: hardware scheduling for dataflow on NUMA systems
ISSN: 0920-8542, 1573-0484Published: New York Springer US 01.06.2015Published 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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