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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yinhe Han Ying Wang Huawei Li Xiaowei Li |
| Copyright Year | 2014 |
| Description | Author affiliation: State Key Lab. of Comput. Archit., Inst. of Comput. Technol., Beijing, China (Yinhe Han; Ying Wang; Huawei Li; Xiaowei Li) |
| Abstract | With the increase of storage density, DRAM refresh leads to higher overhead of power and bandwidth, particularly in emerging 3D stacked memory design like Hybrid Memory Cube (HMC). To exploit the hardware resources for a smarter solution, we propose a data-aware refresh control scheme, Trial and Error (Trial-n-Error), which leverages the data-pattern dependence characteristics of the cells' retention time to reduce refresh operations. Trial-n-Error is a systematic approach that employs our proposed Synergy Testing to capture the refresh bottleneck of DRAM memory: “weak” cells that have a relatively shorter retention time. By locating the dominant weak cells sensitized by applications, Trial-n-Error can avoid the worst-case refresh setting, and adjust the refresh rate under the control of our self-tuning algorithm. Thus, Trial-n-Error can gradually approach to the possible lower-bound of refresh rate for less energy and memory bandwidth consumption. In experiments of 3D-stacked DRAMs, we successfully eliminate an average of 28% refresh operations and save 21% refresh energy for a set of pre-profiled synthetic data patterns and real benchmarks. |
| Starting Page | 295 |
| Ending Page | 300 |
| File Size | 993841 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479962785 |
| DOI | 10.1109/ICCAD.2014.7001366 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-02 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Random access memory Tuning Benchmark testing Radiation detectors Computer architecture Three-dimensional displays |
| Content Type | Text |
| Resource Type | Article |
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