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Download Advanced Computer Architecture: 11th Conference, ACA 2016, by Junjie Wu, Lian Li PDF

By Junjie Wu, Lian Li

This e-book constitutes the refereed court cases of the eleventh Annual convention on complex machine structure, ACA 2016, held in Weihai, China, in August 2016.

The 17 revised complete papers awarded have been conscientiously reviewed and chosen from 89 submissions. The papers deal with concerns akin to processors and circuits; excessive functionality computing; GPUs and accelerators; cloud and knowledge facilities; strength and reliability; intelligence computing and cellular computing.

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Read or Download Advanced Computer Architecture: 11th Conference, ACA 2016, Weihai, China, August 22-23, 2016, Proceedings PDF

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Additional resources for Advanced Computer Architecture: 11th Conference, ACA 2016, Weihai, China, August 22-23, 2016, Proceedings

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In: 2010 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), pp. 540–543, December 2010 3. 5-d system integration scheme. In: Proceedings of the 2001 International Symposium on Physical design, pp. 171–175. ACM (2001) 4. : Interconnect memory challenges for multi-chip, silicon interposer systems. In: Proceedings of the 2015 International Symposium on Memory Systems, pp. 3–10. ACM (2015) 5. 5D ICs: Just a stepping stone or a long term alternative to 3d? In: Keynote Talk at 3-D Architectures for Semiconductor Integration and Packaging Conference (2011) 6.

Therefore, we can conclude some design goals of the interposer network based on topologies analysis. First, in order to reduce the contention, we should try best to reduce average hops between the source and destination nodes. Leveraging long metal wires is a suitable way in interposer layer network, due to its abundant metal routing resource. Second, higher throughput needs higher bisection bandwidth. We should improve the bisection bandwidth through making connections between nodes as many as possible.

Coarse Granularity Data Migration 25 Fig. 10. 1 DRAM Cache In previous research, many studies have been explored the model of DRAM cache. In order to reduce the miss rate, Cached DRAM [22] integrates SRAM cache in the DRAM memory to exploit its locality in memory accesses and storage efficiency. In such DRAM caches, SRAM tags are placed in the stacked DRAM along with the data blocks [21– 23]. However, this can potentially require two DRAM accesses per cache lookup (one for the tag look up and one for data).

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