NDLI: Leveraging Managed Runtime Systems to Build, Analyze, and Optimize Memory Graphs

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Leveraging Managed Runtime Systems to Build, Analyze, and Optimize Memory Graphs

Leveraging Managed Runtime Systems to Build, Analyze, and Optimize Memory Graphs

Content Provider	ACM Digital Library
Author	Rixner, Scott Smith, Rebecca
Abstract	Optimizing memory management is a major challenge of embedded systems programming, as memory is scarce. Further, embedded systems often have heterogeneous memory architectures, complicating the task of memory allocation during both compilation and migration. However, new opportunities for addressing these challenges have been created by the recent emergence of managed runtimes for embedded systems. By imposing structure on memory, these systems have opened the doors for new techniques for analyzing and optimizing memory usage within embedded systems. This paper presents GEM (Graphs of Embedded Memory), a tool which capitalizes on the structure that managed runtime systems provide in order to build memory graphs which facilitate memory analysis and optimization. At GEM's core are a set of fundamental graph transformations which can be layered to support a wide range of use cases, including interactive memory visualization, de-duplication of objects and code, compilation for heterogeneous memory architectures, and transparent migration. Moreover, since the same underlying infrastructure supports all of these orthogonal functionalities, they can easily be applied together to complement each other.
Starting Page	131
Ending Page	143
Page Count	13
File Format	PDF
ISBN	9781450339476
DOI	10.1145/2892242.2892253
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-03-25
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Embedded runtime systems Memory graphs Memory transformation
Content Type	Text
Resource Type	Article

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