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Realizing Efficient Execution of Dataflow Actors on Manycores
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
Department of Computer Science, Lund University, Lund, Sweden.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0002-4932-4036
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2014 (English)In: Proceedings: 2014 International Conference on Embedded and Ubiquitous Computing: EUC 2014: August 2014, Milano, Italy / [ed] Randall Bilof, Los Alamitos, CA: IEEE Computer Society, 2014, 321-328 p., 6962305Conference paper, Published paper (Refereed)
Abstract [en]

Embedded DSP computing is currently shifting towards manycore architectures in order to cope with the ever growing computational demands. Actor based dataflow languages are being considered as a programming model. In this paper we present a code generator for CAL, one such dataflow language. We propose to use a compilation tool with two intermediate representations. We start from a machine model of the actors that provides an ordering for testing of conditions and firing of actions. We then generate an Action Execution Intermediate Representation that is closer to a sequential imperative language like C and Java. We describe our two intermediate representations and show the feasibility and portability of our approach by compiling a CAL implementation of the Two-Dimensional Inverse Discrete Cosine Transform on a general purpose processor, on the Epiphany manycore architecture and on the Ambric massively parallel processor array. © 2014 IEEE.

Place, publisher, year, edition, pages
Los Alamitos, CA: IEEE Computer Society, 2014. 321-328 p., 6962305
Keyword [en]
dataflow languages, compilation framework, code generation, manycore, CAL
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:hh:diva-26991DOI: 10.1109/EUC.2014.55ISI: 000358149800046Scopus ID: 2-s2.0-84908625634ISBN: 978-0-7695-5249-1 (print)ISBN: 978-1-4799-7609-6 (electronic)OAI: oai:DiVA.org:hh-26991DiVA: diva2:761174
Conference
The 12th IEEE International Conference on Embedded and Ubiquitous Computing (EUC 2014), Milan, Italy, Aug. 26-28, 2014
Projects
HiPEC
Funder
Knowledge FoundationSwedish Foundation for Strategic Research
Available from: 2014-11-05 Created: 2014-11-05 Last updated: 2017-09-05Bibliographically approved
In thesis
1. Compiling Concurrent Programs for Manycores
Open this publication in new window or tab >>Compiling Concurrent Programs for Manycores
2015 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The arrival of manycore systems enforces new approaches for developing applications in order to exploit the available hardware resources. Developing applications for manycores requires programmers to partition the application into subtasks, consider the dependence between the subtasks, understand the underlying hardware and select an appropriate programming model. This is complex, time-consuming and prone to error.

In this thesis, we identify and implement abstraction layers in compilation tools to decrease the burden of the programmer, increase programming productivity and program portability for manycores and to analyze their impact on performance and efficiency. We present compilation frameworks for two concurrent programming languages, occam-pi and CAL Actor Language, and demonstrate the applicability of the approach with application case-studies targeting these different manycore architectures: STHorm, Epiphany and Ambric.

For occam-pi, we have extended the Tock compiler and added a backend for STHorm. We evaluate the approach using a fault tolerance model for a four stage 1D-DCT algorithm implemented by using occam-pi’s constructs for dynamic reconfiguration, and the FAST corner detection algorithm which demonstrates the suitability of occam-pi and the compilation framework for data-intensive applications. We also present a new CAL compilation framework which has a front end, two intermediate representations and three backends: for a uniprocessor, Epiphany, and Ambric. We show the feasibility of our approach by compiling a CAL implementation of the 2D-IDCT for the three backends. We also present an evaluation and optimization of code generation for Epiphany by comparing the code generated from CAL with a hand-written C code implementation of 2D-IDCT.

Place, publisher, year, edition, pages
Halmstad: Halmstad University Press, 2015. 35 p.
Series
Halmstad University Dissertations, 11
National Category
Embedded Systems
Identifiers
urn:nbn:se:hh:diva-27789 (URN)978-91-87045-25-7 (ISBN)978-91-87045-24-0 (ISBN)
Presentation
2015-03-20, Haldasalen, House Visionen, Halmstad University, Halmstad, 10:15 (English)
Opponent
Supervisors
Available from: 2015-02-16 Created: 2015-02-13 Last updated: 2015-08-21Bibliographically approved
2. Tools to Compile Dataflow Programs for Manycores
Open this publication in new window or tab >>Tools to Compile Dataflow Programs for Manycores
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The arrival of manycore systems enforces new approaches for developing applications in order to exploit the available hardware resources. Developing applications for manycores requires programmers to partition the application into subtasks, consider the dependence between the subtasks, understand the underlying hardware and select an appropriate programming model. This is complex, time-consuming and prone to error. In this thesis, we identify and implement abstraction layers in compilation tools to decrease the burden of the programmer, increase program portability and scalability, and increase retargetability of the compilation framework. We present compilation frameworks for two concurrent programming languages, occam-pi and CAL Actor Language, and demonstrate the applicability of the approach with application case-studies targeting these different manycore architectures: STHorm, Epiphany, Ambric, EIT, and ePUMA. For occam-pi, we have extended the Tock compiler and added a backend for STHorm. We evaluate the approach using a fault tolerance model for a four stage 1D-DCT algorithm implemented by using occam-pi's constructs for dynamic reconguration, and the FAST corner detection algorithm which demonstrates the suitability of occam-pi and the compilation framework for data-intensive applications. For CAL, we have developed a new compilation framework, namely Cal2Many. The Cal2Many framework has a front end, two intermediate representations and four backends: for a uniprocessor, Epiphany, Ambric, and a backend for SIMD based architectures. Also, we have identied and implemented of CAL actor fusion and fission methodologies for efficient mapping CAL applications. We have used QRD, FAST corner detection, 2D-IDCT, and MPEG applications to evaluate our compilation process and to analyze the limitations of the hardware.

Place, publisher, year, edition, pages
Halmstad: Halmstad University Press, 2017. 35 p.
Series
Halmstad University Dissertations, 33
National Category
Embedded Systems
Identifiers
urn:nbn:se:hh:diva-34883 (URN)978-91-87045-69-1 (ISBN)978-91-87045-68-4 (ISBN)
Public defence
2017-09-27, Wigforssalen, Hus J (Visionen), Kristian IV:s väg 3, Halmstad, 13:15 (English)
Opponent
Supervisors
Available from: 2017-09-06 Created: 2017-09-05 Last updated: 2017-09-06Bibliographically approved

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