Erik Maehle, Kay Römer, Wolfgang Karl, Eduardo Tovar's Architecture of Computing Systems – ARCS 2014: 27th PDF

By Erik Maehle, Kay Römer, Wolfgang Karl, Eduardo Tovar

ISBN-10: 3319048902

ISBN-13: 9783319048901

ISBN-10: 3319048910

ISBN-13: 9783319048918

This publication constitutes the lawsuits of the twenty seventh foreign convention on structure of Computing structures, ARCS 2014, held in Lubeck, Germany, in February 2014. The 20 papers offered during this quantity have been rigorously reviewed and chosen from forty four submissions. they're geared up in topical sections named: parallelization: functions and techniques self-organization and belief approach layout procedure layout and sensor platforms and virtualization: I/O, reminiscence, cloud dependability: security, defense, and reliability features.

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Extra info for Architecture of Computing Systems – ARCS 2014: 27th International Conference, Lübeck, Germany, February 25-28, 2014. Proceedings

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In: Proceedings of the 26th IEEE International Real-Time Systems Symposium (RTSS 2005), Miami, FL, pp. 62–71 (December 2005) 13. : Why on-chip cache coherence is here to stay. Communications of the ACM 55(7), 78–89 (2012) 14. : Real-time synchronization protocols for shared memory multiprocessors. In: Proceedings of the 10th International Conference on Distributed Computing Systems, pp. 116–123 (1990) 15. : Response time analysis for the Abort-and-Restart event handlers of the Priority-Based Functional Reactive Programming (P-FRP) paradigm.

In Fig. 2 you can see that the overheads are almost constant across the core count. 8 speedup on the 16 core execution. Fig. 3 breaks down the overheads and shows the energy footprint of the task spawning, task de-queuing and task stealing. Because we kept the input set constant across all core counts, our total number of tasks increases as we scale up the number of execution threads, but tasks also become finer. This has two consequences: the energy footprint for spawning increases from 2 to 16 cores (see Fig.

Successful stealing has a smaller footprint but the same trend. Bodytrack uses a 2 stage TBB pipeline construct to process the input images. In each stage parallel for templates are used to divide the workload into parallel tasks. The difference compared to Blackscholes is that a special parameter of the parallel for template, the grain size, is used to ensure a minimum size for each task. Similar with Blackscholes, Fig. 2 shows a low parallel/sequential ratio as well as a sub-linear speedup. Because Bodytrack has larger sequential regions throughout the execution, the average number of threads that are active during the execution is lower than for the other benchmarks.

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Architecture of Computing Systems – ARCS 2014: 27th International Conference, Lübeck, Germany, February 25-28, 2014. Proceedings by Erik Maehle, Kay Römer, Wolfgang Karl, Eduardo Tovar


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