Automatic extraction of multi-objective aware pipeline parallelism using genetic algorithms

Cordes, Daniel; Engel, Michael; Marwedel, Peter; Neugebauer, Olaf

doi:10.1145/2380445.2380463

Cited by 4 publications

(2 citation statements)

References 28 publications

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“…Automatic parallelization as suggested by Cordes et al [9], for example, leads to unstructured parallelism making later timing analysis much harder; structured parallelism as provided by the parallelization presented in the remainder is very beneficial [10], [11].…”

Section: Developing Multi-core Software Based On Single-core Codementioning

confidence: 99%

Paving the way for multi-cores in industrial hard real-time control applications

Jahr

Frieb

Gerdes

et al. 2014

Proceedings of the 9th IEEE International Symposium on Industrial Embedded Systems (SIES 2014)

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The rise of multicore processors for industrial embedded control applications forces companies to face the challenge of replacing legacy single-core applications by multithreaded programs. We present a systematic and tool-supported approach starting with existing single-core code and transforming it into multi-threaded code such that timing analysis is preserved and eased. The approach is based on (a) scheduling periodic tasks onto multiple dedicated cores as well as (b) executing other code parts after a model-based parallelization, which introduces structured parallelism only, on the remaining cores. The main advantage of our approach compared to a re-implementation is a strongly reduced effort for implementation and testing because of the reuse of existing code. The approach is demonstrated and evaluated for the control code of a foundation crane; slack time is introduced as measurement for the effectiveness.

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Section: Developing Multi-core Software Based On Single-core Codementioning

confidence: 99%

Paving the way for multi-cores in industrial hard real-time control applications

Jahr

Frieb

Gerdes

et al. 2014

Proceedings of the 9th IEEE International Symposium on Industrial Embedded Systems (SIES 2014)

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show abstract

“…Multiple objectives have also been considered in recent work on the automatic parallelization of sequential software [21] for cyber-physical systems. Parallelization techniques are rapidly gaining importance since the high computing demands of future cyber-physical systems can only be satisfied using multiple processor cores.…”

Section: Requirementsmentioning

confidence: 99%

Efficient computing in cyber-physical systems

Marwedel

Engel

2012

2012 International Conference on Embedded Computer Systems (SAMOS)

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Computing in cyber-physical systems has to be efficient in terms of a number of objectives. In particular, computing has to be execution-time and energy efficient. In this paper, we will consider optimization techniques aiming at efficiency in terms of these two objectives. In the first part, we will consider techniques for the integration of compilers and worst-case execution time (WCET) estimation. We will demonstrate, how such integration opens the door to WCET-reduction algorithms. For example, an algorithm for WCET-aware compilation reduces the WCET for an automotive application by more than 50% by exploiting scratch pad memories (SPMs). In the second part, we will demonstrate techniques for improving the energy efficiency of cyber-physical systems, in particular the use of SPMs. In the third part, we demonstrate how the optimization for multiple objectives taken into account. This paper provides an overview of work performed at the Chair for Embedded Systems of TU Dortmund and the Informatik Centrum Dortmund, Germany 1 .

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Sustainable Software Design

Engel

2015

Green Information Technology

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Automatic extraction of multi-objective aware pipeline parallelism using genetic algorithms

Cited by 4 publications

References 28 publications

Paving the way for multi-cores in industrial hard real-time control applications

Paving the way for multi-cores in industrial hard real-time control applications

Efficient computing in cyber-physical systems

Sustainable Software Design

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