By Jens Knoop, Wolfgang Karl, Martin Schulz, Koji Inoue, Thilo Pionteck
This ebook constitutes the court cases of the thirtieth foreign convention on structure of Computing platforms, ARCS 2017, held in Vienna, Austria, in April 2017.
The 19 complete papers offered during this quantity have been rigorously reviewed and chosen from forty two submissions. They have been prepared in topical sections entitled: resilience; accelerators; functionality; reminiscence platforms; parallelism and many-core; scheduling; power/energy.
Read Online or Download Architecture of Computing Systems - ARCS 2017: 30th International Conference, Vienna, Austria, April 3–6, 2017, Proceedings (Lecture Notes in Computer Science) PDF
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Extra info for Architecture of Computing Systems - ARCS 2017: 30th International Conference, Vienna, Austria, April 3–6, 2017, Proceedings (Lecture Notes in Computer Science)
We apply two steps to reduce the amount of false matches, which impacts density but increases the accuracy of matches. Firstly, we use a uniqueness criterion. Since camera images include noise, it is quite possible that the lowest value is not the best match. But often the lowest and second lowest value are also similar, even with sub-pixel matching. Therefore, we accept a match only, if the diﬀerence between the lowest and the third lowest value is greater than a pre-deﬁned minimum, which is determined empirically.
All execution times include OpenCL overhead. The memory accesses of the kernel itself are part of the kernel execution, hence are included in the measurements. While Stereo Matching and calculating ﬂow features massively beneﬁt from a FPGA-based acceleration, sorting is only slightly faster. 6 ms and supports 32 disparities in half-pixel resolution. “Stereo total” comprises 8 calls of the Stereo Matcher because we consider 128 possible disparities and perform matching from both sides for the consistency check.
The parameter i speciﬁes the current iteration, hence states which bits are considered for sorting. These bits select the buﬀer to store the current feature. If a buﬀer is full, it is written to memory. Counters enable to have a contiguous chunk of data where each bucket is adjacent to his neighbor without a gap, hence the correct starting address for each bucket in the memory has to be known to avoid fragmentation. This is achieved by counting the elements per bucket in advance (left part of Fig.