Placement of Linked Dynamic Data Structures over Heterogeneous Memories in Embedded Systems

Author:

Peón-quirós Miguel1,Bartzas Alexandros2,Mamagkakis Stylianos3,Catthoor Francky4,Mendías José Manuel1,Soudris Dimitrios2

Affiliation:

1. Complutense University of Madrid, Spain

2. ECE School, Natl. Tech. Univ. of Athens, Greece

3. Samsung Semiconductor Europe GmbH, Germany

4. IMEC vzw, Belgium

Abstract

Software applications use dynamic memory (allocated and deallocated in the system's heap) to handle dynamism in their working conditions. Embedded systems tend to include complex memory organizations but most techniques for dynamic memory management do not deal with the placement of data objects in physical memory modules. Additionally, the performance of hardware-controlled cache memories may be severely hindered when used with linked data structures. We therefore present a methodology to map dynamic data on the multilevel memory subsystem of embedded systems, taking advantage of any available memories (e.g., on-chip SRAMs) and avoiding interference with the cache memories. The resulting data placement uses an exclusive memory model and is compatible with existing techniques for managing static data. Our methodology helps the designer achieve reductions in energy consumption and execution time that can be obtained by an expert in an automated way while keeping control over the process through multiple configuration knobs.

Funder

E. C. Marie Curie Fellowship contract MEST-CT-2004-504767

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Software

Reference55 articles.

1. Custom Microcoded Dynamic Memory Management for Distributed On-Chip Memory Organizations

2. ARM. 2011. Cortex-A15 Technical Reference Manual Rev. r2p0. ARM. ARM. 2011. Cortex-A15 Technical Reference Manual Rev. r2p0. ARM.

3. Systematic dynamic memory management design methodology for reduced memory footprint

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MOCA: Memory Object Classification and Allocation in Heterogeneous Memory Systems;2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2018-05

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