Download Facing the Multicore-Challenge III: Aspects of New Paradigms by Michael Bader, Hans-Joachim Bungartz, Martin Schreiber PDF
By Michael Bader, Hans-Joachim Bungartz, Martin Schreiber (auth.), Rainer Keller, David Kramer, Jan-Philipp Weiss (eds.)
This cutting-edge survey beneficial properties issues on the topic of the impression of multicore, manycore, and coprocessor applied sciences in technological know-how and large-scale functions in an interdisciplinary surroundings. The papers integrated during this survey conceal study in mathematical modeling, layout of parallel algorithms, facets of microprocessor structure, parallel programming languages, hardware-aware computing, heterogeneous systems, manycore applied sciences, functionality tuning, and necessities for large-scale functions. The contributions awarded during this quantity are an final result of an inspiring convention conceived and arranged by means of the editors on the college of technologies (HfT) in Stuttgart, Germany, in September 2012. the ten revised complete papers chosen from 21 submissions are provided including the twelve poster abstracts and concentrate on mix of recent facets of microprocessor applied sciences, parallel functions, numerical simulation, and software program improvement; hence they basically exhibit the opportunity of rising applied sciences within the zone of multicore and manycore processors which are paving the way in which in the direction of own supercomputing and intensely most probably in the direction of exascale computing.
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The abstracts and papers during this quantity have been awarded on the 5th Annual overseas Computing and Combinatorics convention (COCOON ’99), which used to be held in Tokyo, Japan from July 26 to twenty-eight, 1999. the themes disguise such a lot points of theoretical desktop technology and combinatorics relating computing.
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Extra info for Facing the Multicore-Challenge III: Aspects of New Paradigms and Technologies in Parallel Computing
Example text
Since the scheme is of tensor product nature, the calculation of the integrals in (5) can be simplified. This becomes significant in the implementation, overall operation count as well as in the parallelization capabilities, especially when it comes to latency hiding. In two dimensions, Figure 1 shows the location of Gauss points for the approximation of the numerical flux f ∗ for a single element in reference space ξ = (ξ 1 , ξ 2 )T . Once can clearly see the tensor product behavior of the operation.
Section 3 proposes variants of the fine-grained reduction. Their implementations in OpenMP are given in Sect. 4. Section 5 shows experimental results. Section 6 discusses related work and Sect. 7 concludes the article. 2 Solution of Linear Systems of Equations Step (III) of the adaptive FEM is performed as follows [1]: The conjugate gradient method [9] is used for solving the linear system of equations (3). This iterative method minimises the residuum r [n] := Au[n] − b along a corresponding search direction in each step starting from an initial solution u[0] .
Collective optimization: A practical collaborative approach. ACM Transactions on Architecture and Code Optimization 9. : Scalable detection of semantic clones. In: Proceedings of the 30th International Conference on Software Engineering, pp. 321–330. ACM (2008) 10. : Parallelize automatically by pattern matching (2000) 11. : Identifying similar code with program dependence graphs. In: WCRE, p. 301. IEEE Computer Society (2001) 12. : A general method applicable to the search for similarities in the amino acid sequence of two proteins.