Architecture of Computing Systems - ARCS 2017: 30th by Jens Knoop, Wolfgang Karl, Martin Schulz, Koji Inoue, Thilo

By Jens Knoop, Wolfgang Karl, Martin Schulz, Koji Inoue, Thilo Pionteck

This booklet constitutes the complaints of the thirtieth foreign convention on structure of Computing structures, ARCS 2017, held in Vienna, Austria, in April 2017.

The 19 complete papers provided during this quantity have been rigorously reviewed and chosen from forty two submissions. They have been geared up in topical sections entitled: resilience; accelerators; functionality; reminiscence platforms; parallelism and many-core; scheduling; power/energy.

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The resulting execution time overhead of redundant and fault-tolerant execution was shown to be 140% on average on existing hardware. Signature generation and transactional execution are the main contributors to the increased execution time. However, hardware enhancements and the integration of advanced techniques for signature creation and exchange reduce the average run time overhead to 47%. References 1. : NonStop R advanced architecture. In: Proceedings of the International Conference on Dependable Systems and Networks (DSN), pp.

At runtime, the OpenCL drivers on the SoC’s ARM Linux host take care of reconfiguring the FPGA with the correct bitstream for the required kernels. 6 Evaluation In this section, we evaluate the performance and resource consumption of the different kernels running on the FPGA or CPU. Afterwards, we use the KITTIBenchmark [10] to consider the quality of the 6D field. 1 Performance and Resource Consumption In Table 1, we show the resource consumption and performance of different components inside the 6D-Vision system.

To remove likely incorrect matches, we apply two different post-processing steps. We discard all matches having an unrealistic large displacement and accept correspondences only, if there is a certain number of matches in the neighborhood. 3 Related Work In this section, we summarize current work in 6D-Vision. Additionally, we also give a brief overview about optical flow and stereo vision, since it is part of our 6D-Vision approach. 1 6D-Vision Vogel et al. [14] propose a variational approach, but despite the high accuracy the computational complexity rule out solutions on low-cost hardware.

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