An efficient data partitioning method for limited memory embedded systems

Anantharaman, S.; Pande, Santosh

doi:10.1007/bfb0057792

Cited by 9 publications

(2 citation statements)

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“…The allocation of SPM is key problem when there is only a single core on chip. Different approaches were provided to utilize SPM with high efficiency [9][10][11]. When more cores are integrated onto embedded processors, The most important issue of SPM optimization for MPSoC is that how to allocate SPM for multi-cores.…”

Section: Introductionmentioning

confidence: 99%

Scratchpad memory based power efficient optimization for MPSoC

2011

2011 International Conference on Electronics, Communications and Control (ICECC)

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With the development of semiconductor technology, more modules are integrated onto a single chip. Multiprocessor system-on-chip (MPSoC) is such circuit with multiple embedded processor cores on chip. It provides high parallelism with multithreads through the multiple cores. Memory system is still the bottleneck of the performance and power-consumption of MPSoC systems. Scratchpad memory (SPM), which is softwarecontrolled on-chip memory without extra tags, is used on MPSoC chips. SPM has low power-consumption and high efficiency compared to cache. However, the SPM requirements from different cores will be also different. How to balance the utilization of SPM is still a challenge. In this paper, we propose a new technique for SPM allocation on demand to reduce the power consumption and improve the performance of MPSoC. SPM will be shared under special constrains. Experimental results show that our approach can reduce both the execution time and the energy consumption effectively.

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Section: Introductionmentioning

confidence: 99%

Scratchpad memory based power efficient optimization for MPSoC

2011

2011 International Conference on Electronics, Communications and Control (ICECC)

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“…These memory objects can be allocated to SPM. Some proposed approaches proposed that memory objects could be assigned to SPM through compilers [9][10][11][12]. The allocation of SPM was fixed and can not be changed during the execution and the assigned SPM could not be used by other memory objects.…”

mentioning

confidence: 99%

A Methodology for the Optimization Of Multi-program Shared Scratchpad Memory

Yang

Jiang

Hu³

2011

International Journal on Smart Sensing and Intelligent Systems

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big challenge on how to take advantages of SPM because SPM must be explicitly used by software to achieve high performance. This paper proposes a novel methodology to share SPM during multiprograms. The applications are analyzed and memory objects are generated. During the executions, multi-programs can share SPM through these memory objects. The experimental results show that our approach can reduce both the execution time and the energy consumption effectively.

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