By Rosa M. Badia, Fabrice Huet, Rob van Nieuwpoort, Rainer Keller (auth.), Emmanuel Jeannot, Raymond Namyst, Jean Roman (eds.)
The two-volume set LNCS 6852/6853 constitutes the refereed complaints of the seventeenth overseas Euro-Par convention held in Bordeaux, France, in August/September 2011. The eighty one revised complete papers provided have been conscientiously reviewed and chosen from 271 submissions. The papers are equipped in topical sections on help instruments and environments; functionality prediction and assessment; scheduling and load-balancing; high-performance architectures and compilers; parallel and dispensed information administration; grid, cluster and cloud computing; peer to look computing; disbursed structures and algorithms; parallel and allotted programming; parallel numerical algorithms; multicore and manycore programming; thought and algorithms for parallel computation; excessive functionality networks and cellular ubiquitous computing.
Read Online or Download Euro-Par 2011 Parallel Processing: 17th International Conference, Euro-Par 2011, Bordeaux, France, August 29 - September 2, 2011, Proceedings, Part I PDF
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Additional info for Euro-Par 2011 Parallel Processing: 17th International Conference, Euro-Par 2011, Bordeaux, France, August 29 - September 2, 2011, Proceedings, Part I
Automated empirical optimizations of software and the atlas project. edu Abstract. Finding and ﬁxing data races is a diﬃcult parallel programming problem, even for experienced programmers. Despite the usage of race detectors at application development time, programmers might not be able to detect all races. Severe damage can be caused after application deployment at clients due to crashes and corrupted data. Run-time race detectors can tackle this problem, but current approaches either slow down application execution by orders of magnitude or require complex hardware.
Com 8. : Helgrind+: An eﬃcient dynamic race detector. In: Proc. IEEE IPDPS 2009 (2009) 9. : Healing data races on-the-ﬂy. In: Proc. ACM PADTAD 2007, pp. 54–64 (2007) 10. util. concurrent synchronizer framework. Sci. Comp. Prog 58(3) (2005) 11. : Avio: detecting atomicity violations via access interleaving invariants. In: Proc. ASPLOS-XII, pp. 37–48. ACM, New York (2006) 12. : Atom-aid: Detecting and surviving atomicity violations. In: Proc. ISCA 2008, pp. 277–288. ACM, New York (2008) 13. : Pin: building customized program analysis tools with dynamic instrumentation.
Each ﬁlter works in parallel within a pipeline stage on one frame of the video stream. Stage S1 (Gauss) performs a Gaussian blur by applying a convolution mask. Stage S2 (Gradient) applies a Sobel mask to compute the gradient strength and direction for each pixel. Stage S3 (Trace) traces the edges based on the gradients computed in the previous stage. Stage S4 (Suppress) suppresses pixels that are not on an edge. Stage S5 (Non-Max) performs some clean-ups in the picture by eliminating weaker edges that are parallel to stronger ones.
Euro-Par 2011 Parallel Processing: 17th International Conference, Euro-Par 2011, Bordeaux, France, August 29 - September 2, 2011, Proceedings, Part I by Rosa M. Badia, Fabrice Huet, Rob van Nieuwpoort, Rainer Keller (auth.), Emmanuel Jeannot, Raymond Namyst, Jean Roman (eds.)