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Scalable Multi-core Architectures: Design Methodologies and by Dimitrios Soudris, Axel Jantsch

By Dimitrios Soudris, Axel Jantsch

As Moore’s legislations maintains to spread, very important traits have lately emerged. First, the expansion of chip capability is translated right into a corresponding bring up of variety of cores. moment, the parallelization of the computation and 3D integration applied sciences bring about disbursed reminiscence architectures. This ebook describes contemporary study that addresses pressing demanding situations in many-core architectures and alertness mapping. It addresses the architectural layout of many middle chips, reminiscence and knowledge administration, energy administration, layout and programming methodologies. It additionally describes how new thoughts were utilized in a variety of commercial case studies.

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However, in the field of multi-threaded dynamic memory managers both conventional and new defined metrics are required in order to perform accurate evaluation of their efficiency [4]. e. scalability of the solution and avoidance of false sharing. e. energy consumption) have to also be taken into account. Thus, in order to design efficient multi-threaded dynamic memory allocator of the following metrics should have to be considered: 1. , malloc and free) about as fast as a state-of-the-art serial memory allocator.

In this chapter, we address the open issue of application-specific multi-threaded dynamic memory management by proposing a comprehensive methodology which enables the designer to explore, traverse and evaluate through the decisions of the new design space in an efficient manner. The exploration methodology searches and evaluates the available decisions of the DMM design space and returns decision combinations. Given the multi-threaded application to be executed onto an MPSoC, the proposed exploration methodology delivers a custom dynamic memory manager based on the proper combination of decisions found into the extended DMM design space.

The data is returned to the Local Node directly. 11a shows the read procedure. In a write request (Fig. 11b), there may be one or more Remote Nodes that also have the data in their local caches. So the Home Node needs to send invalidation requests to all these Remote Nodes. And once all the invalidation acknowledgements have returned, the Home Node grants the Local Node the right to update the data. Although this scheme is relatively simple and is not effective in all cases, it can offer significant performance improvements and good scalability properties 20 A.

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