Architecture of Computing Systems – ARCS 2009: 22nd by Krisztián Flautner (auth.), Mladen Berekovic, Christian

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

This booklet constitutes the refereed court cases 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 conscientiously reviewed and chosen from fifty seven submissions. This year's targeted concentration is decided on power understanding. The papers are equipped in topical sections on compilation applied sciences, reconfigurable and purposes, substantial parallel architectures, natural computing, reminiscence architectures, enery expertise, Java processing, and chip-level multiprocessing.

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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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Dutta, and J. 2 2 4 8 16 32 64 unroll factor or number of processor elements Fig. 6. Throughput, throughput per gate, and the throughput per mW for different unroll factors and numbers of processor elements, respectively DSP48 slices are shown in Table 2. Unlike the FIR filter, the DCT has no loop carried data dependencies. The loop body of the DCT was unrolled four times and a processor array consisting of 4 processing elements was considered, respectively. The unrolled loop body contains 96 multiplications therefore the results for the cost (LUTs, FFs) of the last experiment, where 96 multipliers were available, are quite close.

715, pp. 398–416. Springer, Heidelberg (1993) Parallelization Approaches for Hardware Accelerators 27 3. : High Performance Compilers for Parallel Computing. , Reading (1996) 4. com 5. com 6. com 7. : SPARK: A High-Level Synthesis Framework for Applying Parallelizing Compiler Transformations. In: Proceedings of the International Conference on VLSI Design, pp. 461–466 (January 2003) 8. : Hardware Synthesis for Multi-Dimensional Time. In: Proceedings of IEEE 14th International Conference on Application-specific Systems, Architectures, and Processors (ASAP), Los Alamitos, CA, USA, pp.

False Positive Probability: The presence of false positives arises from the fact that the k bits in the bit-vector can be set to one by any of the n keys. Note that a Bloom filter can produce false positive but never false negative answers to queries. The false positive probability of a Bloom filter (denoted as FPP) is given by [2]: k kn kn ⎛ ⎛ − ⎞ 1 ⎞ ⎞⎟ ⎛ ⎜ ⎜ FPP = 1 − ⎜1 − ⎟ ≈ ⎜1 − e m ⎟⎟ ⎜ ⎝ m⎠ ⎟ ⎠ ⎝ ⎠ ⎝ k (1) Obviously, FPP decreases as the bit-vector size m increases, and increases as the number of inserted keys n increases.

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