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2013 新書:Multicore Systems On-Chip second edition

發布時間:2014-7-3 14:36    發布者:看門狗
關鍵詞: 多核
作  者:
Abderazek Ben Abdallah 著
出 版 社:
Atlantis Press
出版時間:
2013-06-12

System on chips designs have evolved from fairly simple unicore,single memory designs to complex heterogeneous multicore SoC architectures consisting of a large number of IP blocks on the same silicon.To meet high computational demands posed by latest consumer electronic devices,most current systems are based on such paradigm,which represents a real revolution in many aspects in computing.The attraction of multicore processing for power reduction is compelling.By splitting a set of tasks among multiple processor cores,the operating frequency necessary for each core can be reduced,allowing to reduce the voltage on each core.Because dynamic power is proportional to the frequency and to the square of the voltage,we get a big gain,even though we may have more cores running.As more and more cores are integrated into these designs to share the ever increasing processing load,the main challenges lie in efficient memory hierarchy,scalable system interconnect,new programming paradigms,and efficient integration methodology for connecting such heterogeneous cores into a single system capable of leveraging their individual flexibility.Current design methods tend toward mixed HW/SW co-designs targeting multicore systems on-chip for specific applications.To decide on the lowest cost mix of cores,designers must iteratively map the device’s functionality to a particular HW/SW partition and target architectures.In addition,to connect the heterogeneous cores,the architecture requires high performance complex communication architectures and efficient communication protocols,such as hierarchical bus,point-to-point connection,or Network-on-Chip.Software development also becomes far more complex due to the difficulties in breaking a single processing task into multiple parts that can be processed separately and then reassembled later.This reflects the fact that certain processor jobs cannot be easily parallelized to run concurrently on multiple processing cores and that load balancing between processing cores – especially heterogeneous cores – is very difficult.



Multicore Systems On-Chip_ Practical Software_Hardware Design.pdf (14.17 MB)

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rinllow6 發表于 2014-7-7 14:41:36
謝謝!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
jimcmwang 發表于 2014-11-14 14:11:46
Multicore Systems On-Chip_ Practical Software_Hardware Design.pdf (14.17 MB, 下載次數: 10)
jimcmwang 發表于 2017-11-30 17:54:01
Multicore Systems On-Chip_ Practical Software_Hardware Design.pdf (14.17 MB, 下載次數: 27)

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