Managing Cache Memory Resources in Adaptive Many-Core Systems

Conference paper
First Online:
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 523)

Abstract

In the last decades, the increasing amount of resources in embedded systems has been leading them to the point where an efficient management of these resources is mandatory, especially for the memory subsystem. Current MPSoCs have more than one application running concurrently. Hence, it is important to identify the memory needs of these applications and provide them accordingly. In this work we propose the use of a cluster-based, resource-aware approach to provide this efficient environment. The solution proposed here improves the overall performance of these systems by aggregating memory resources in clusters and redistributing these resources among applications based on a fairness criterion. For this memory clustering proposal, we use the information of external memory access-es as an estimate of the amount of memory required by each application. T Experimental results show that, depending on how the redistribution of memory resources among application occurs, the overall system can improve performance up to 18% and the energy savings can reach up to 20%.

Keywords

Many-core Resource management Adaptable memory hierarchy Network-on-chip 
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Copyright information

© IFIP International Federation for Information Processing 2017

Authors and Affiliations

  1. 1.Digital Metropolis InstituteFederal University of Rio Grande do NorteNatalBrazil
  2. 2.Informatics InstituteFederal University of Rio Grande do SulPorto AlegreBrazil

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