Download e-book for kindle: Architecture of Computing Systems; ARCS 2009 by Mladen Berekovic, Christian Müller-Schloer, Christian

By Mladen Berekovic, Christian Müller-Schloer, Christian Hochberger, Stephan Wong

ISBN-10: 3642004539

ISBN-13: 9783642004537

This e-book constitutes the refereed lawsuits 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 designated concentration is decided on strength information. The papers are equipped in topical sections on compilation applied sciences, reconfigurable and purposes, titanic parallel architectures, natural computing, reminiscence architectures, enery understanding, Java processing, and chip-level multiprocessing.

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Extra resources for Architecture of Computing Systems; ARCS 2009

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For each key xj ∈ I, the k hash values hi(xj), 1 ≤ i ≤ k, are computed. e. BF[hi(xj)] := 1 for all 1 ≤ i ≤ k. Note that, if one of these values addressed a bit which is already set to one, that bit is not changed. Querying: For a given key x ∈ K, the Bloom filter is queried for membership in I in a similar way. The k hash values hi(x), 1 ≤ i ≤ k, are computed. If at least one of the k bits BF[hi(x)], 1 ≤ i ≤ k, is zero, then x∉I. Otherwise, x is said to be a member of I with a certain probability.

An intuitive rule is adopted to evaluate the above measurements: – The longer the sampling period is, the less accurate the sampling result is. This intuitive rule means that the difference between the sampling result and the real execution, in our case, the normalized root mean square error and order deviation, should rise with the increase of the sampling period. On the contrary, the sample coverage should fall with the increase of the sampling period. The test results are shown and discussed in below.

In: Proc. of the Los Alamos Computer Science Institute Symposium, Santa Fe, NM (2002) 9. : A Comparison of Counting and Sampling Modes of Using Performance Monitoring Hardware. G. ) ICCS-ComputSci 2002. LNCS, vol. 2330, pp. 904–912. Springer, Heidelberg (2002) 10. 0: Faster and More Flexible Program Analysis. Journal of Instruction-Level Parallelism 7, 1–28 (2005) 11. : SMARTS: Accelerating Microarchitecture Simulation via Rigorous Statistical Sampling. In: Proc. of ISCA, pp. 84–95. IEEE Press, New York (2003) 12.

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Architecture of Computing Systems; ARCS 2009 by Mladen Berekovic, Christian Müller-Schloer, Christian Hochberger, Stephan Wong


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