Get Architecture of Computing Systems – ARCS 2009: 22nd PDF

By Krisztián Flautner (auth.), Mladen Berekovic, Christian Müller-Schloer, Christian Hochberger, Stephan Wong (eds.)

ISBN-10: 3642004539

ISBN-13: 9783642004537

ISBN-10: 3642004547

ISBN-13: 9783642004544

This e-book constitutes the refereed complaints of the twenty second overseas convention on structure of Computing structures, ARCS 2009, held in Delft, The Netherlands, in March 2009.

The 21 revised complete papers offered including three keynote papers have been rigorously reviewed and chosen from fifty seven submissions. This year's certain concentration is determined on strength know-how. The papers are geared up in topical sections on compilation applied sciences, reconfigurable and purposes, big parallel architectures, natural computing, reminiscence architectures, enery expertise, Java processing, and chip-level multiprocessing.

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Read Online or Download Architecture of Computing Systems – ARCS 2009: 22nd International Conference, Delft, The Netherlands, March 10-13, 2009. Proceedings PDF

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Extra resources for Architecture of Computing Systems – ARCS 2009: 22nd International Conference, Delft, The Netherlands, March 10-13, 2009. Proceedings

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On Winter Simulation, pp. 882–888. ACM Press, New York (2006) 13. org 14. edu/pin A Reconfigurable Bloom Filter Architecture for BLASTN Yupeng Chen, Bertil Schmidt, and Douglas L. sg Abstract. Efficient seed-based filtration methods exist for scanning genomic sequence databases. However, current solutions require a significant scan time on traditional computer architectures. These scan time requirements are likely to become even more severe due to the rapid growth in the size of databases. In this paper, we present a new approach to genomic sequence database scanning using reconfigurable field-programmable gate array (FPGA)-based hardware.

Furthermore, big operators (also often called reductions) which implement mathematical operators such as ∑ or ∏ can be used. In contrast to the common mathematical notation, the iteration space is not required to be 1-dimensional, as the following image processing code fragment of a 2-D Gaussian window filter demonstrates. w[0,0] = 1; w[0,1] = 2; w[0,2] = 1; w[1,0] = 2; w[1,1] = 4; w[1,2] = 2; w[2,0] = 1; w[2,1] = 2; w[2,2] = 1; h[x,y] = SUM}[i>=0 and i<=2 and j>=0 and j<=2](pic_in[x+i,y+j] * w[i,j]); pic_out[x,y] = h[x,y] >> 4; // divided by 16 Parallelization Approaches for Hardware Accelerators 19 A program is thus a system of quantified equations that implicitly defines a function of output variables in dependence of input variables.

Gcc is a control dominant program, which has lots of branches in its code, this suggests that the sampling based hotspot detection has an accuracy degradation for the control dominant programs. 5 Conclusion In this paper, we investigate the accuracy of sampling based hotspot detection. Three measurements, normalized root mean square error, sample coverage and order deviation are proposed to evaluate how well the sampled hotspot matches the real hotspot of the program. These measurements are adopted in the consideration of the experiences of previous research work and our observations.

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Architecture of Computing Systems – ARCS 2009: 22nd International Conference, Delft, The Netherlands, March 10-13, 2009. Proceedings by Krisztián Flautner (auth.), Mladen Berekovic, Christian Müller-Schloer, Christian Hochberger, Stephan Wong (eds.)


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