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Putting intel® threading building blocks to work

Authors:

Thomas Willhalm,

Nicolae PopoviciAuthors Info & Claims

IWMSE '08: Proceedings of the 1st international workshop on Multicore software engineering

Pages 3 - 4

https://doi.org/10.1145/1370082.1370085

Published: 11 May 2008 Publication History

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Abstract

Intel® Threading Building Blocks (TBB) was designed to simplify programming for multi-core platforms. By introducing a new way of expressing parallelism, developers can focus on efficient scalable parallel program design and avoid dealing with low level details of threading. This talk will focus on the task-based approach to threading of the Intel® TBB. We will show step by step what needs to be done in order to take advantage of the TBB task based programming model in your code.

References

[1]

Reinders, J., 2007. Intel Threading Building Blocks. O'Reilly

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[2]

Crownie, J. 2007. Building High Performance Threaded Applications using Libraries. Presented at Parallel Architectures and Compilation Techniques (PACT) 2007. http://pact07.cs.tamu.edu/TBB_PACT2007.pdf

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[3]

Deilmann, M. and Willhalm T., 2007. Intel® Threading Building Blocks - ein templatebasiertes Programmiermodell für moderne Mehrkernarchitekturen. In LinuxMagazin 05/2007.

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[4]

Intel® Threading Building Blocks 2.0 for Open Source http://threadingbuildingblocks.org/

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Keramatian AGulisano VPapatriantafilou MTsigas P(2023)PARMA-CC: A family of parallel multiphase approximate cluster combining algorithmsJournal of Parallel and Distributed Computing10.1016/j.jpdc.2023.02.001177(68-88)Online publication date: Jul-2023
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Index Terms

Putting intel® threading building blocks to work
1. Computing methodologies
  1. Parallel computing methodologies
    1. Parallel programming languages
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language types
        Parallel programming languages

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Published In

IWMSE '08: Proceedings of the 1st international workshop on Multicore software engineering

May 2008

76 pages

ISBN:9781605580319

DOI:10.1145/1370082

General Chairs:
Victor Pankratius
University of Karlsruhe, Germany
,
Walter Tichy
University of Karlsruhe, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 11 May 2008

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ICSE '08: International Conference on Software Engineering

May 11, 2008

Leipzig, Germany

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https://doi.org/10.1016/j.jpdc.2023.104779
Qiu YReeve SLi MYang YSlattery SJiang C(2023)A Sparse Distributed Gigascale Resolution Material Point MethodACM Transactions on Graphics10.1145/357016042:2(1-21)Online publication date: 16-Jan-2023
https://dl.acm.org/doi/10.1145/3570160
Keramatian AGulisano VPapatriantafilou MTsigas P(2023)PARMA-CC: A family of parallel multiphase approximate cluster combining algorithmsJournal of Parallel and Distributed Computing10.1016/j.jpdc.2023.02.001177(68-88)Online publication date: Jul-2023
https://doi.org/10.1016/j.jpdc.2023.02.001
Střelák DMyška DPetrovič FPolák JOl’ha JFilipovič J(2023)Umpalumpa: a framework for efficient execution of complex image processing workloads on heterogeneous nodesComputing10.1007/s00607-023-01190-w105:11(2389-2417)Online publication date: 19-Jun-2023
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Koh NJayaraman PZheng J(2022)Truncated octree and its applicationsThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-021-02130-538:4(1167-1179)Online publication date: 1-Apr-2022
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Li YLiu HChen YGao JWu ZGuan ZChen Z(2021)FASTBLOCK: Accelerating Blockchains via Hardware Transactional Memory2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS51616.2021.00032(250-260)Online publication date: Jul-2021
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Georgakarakos GLilius J(2020)Recursive Task Generation for Scalable SDF Graph Execution on Multicore Processors2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)10.1109/PDP50117.2020.00037(196-200)Online publication date: Mar-2020
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Intel® threading building blocks

Intel Architecture and Technology for Future HPC System Building Blocks

Optimizing image processing on multi-core CPUs with Intel parallel programming technologies

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