Optimizing Data Placement for Hybrid SPM with SRAM and Racetrack Memory
| Autor: | Liang Shi, Shouzhen Gu, Qingfeng Zhuge, Edwin H.-M. Sha, Rui Xu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Scheme (programming language)
Hardware_MEMORYSTRUCTURES business.industry Computer science 020208 electrical & electronic engineering 02 engineering and technology 020202 computer hardware & architecture Metric (mathematics) 0202 electrical engineering electronic engineering information engineering Racetrack memory Static random-access memory business computer Computer hardware Scratchpad memory Data placement computer.programming_language |
| Zdroj: | ICCD |
| Popis: | In this paper, a novel hybrid scratchpad memory (SPM) with SRAM and racetrack memory (RM) is proposed. The basic idea is to smartly place data on SPM by taking the advantages of these two memories. First, a metric is proposed to represent the access cost of data; Second, a data placement scheme is proposed based on the metric; Finally, to maximize the size of SPM, a scheme is further proposed to minimize the size of SRAM. Experimental results show that the proposed scheme reduces the shift operations of RM by 80.12% and reduces the cost of SPM by 80.72% with only 17.63% SRAM compared with a baseline SPM with pure RM. |
| Databáze: | OpenAIRE |
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