Abstract
Dynamic Random Access Memory (DRAM) has been prevalent over the past few decades as main memory component. The demand of higher memory capacity is increasing continuously, while scaling of DRAM is reaching its boundaries. As we scale DRAM to smaller feature size, difficulties in fabrication, leakage power, and energy consumption become significant. Therefore, memory technologies, which have better scalability feature, will be the future of memory systems. To overcome these limitations, search for a new memory technology is necessary and Phase Change Memory (PCM) is the most promising. PCM is non-volatile memory with better scalability and less leakage power than DRAM. It is a resistance-based memory, which doesn't need to be refreshed. PCM suffers more write latency and less write endurance. The write latency of PCM is higher than its read latency by almost 8 times. A large number of researches have been done on reducing write latency of PCM. This research will focus on studying different approaches and techniques in order to reduce write latency on various aspects. Then, techniques employed to reduce write latency of PCM such as PreSET, Partial-SET, Flip-N-Write, two-stage-write, and two-stage-write-inv are introduced. Conclusively, a performance comparison of each technique is discussed.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - UKSim-AMSS 2016 |
| Subtitle of host publication | 10th European Modelling Symposium on Computer Modelling and Simulation |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 213-217 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509049707 |
| DOIs | |
| State | Published - May 4 2017 |
| Event | 10th European Modelling Symposium on Computer Modelling and Simulation, UKSim-AMSS 2016 - Pisa, Italy Duration: Nov 28 2016 → Nov 30 2016 |
Publication series
| Name | Proceedings - UKSim-AMSS 2016: 10th European Modelling Symposium on Computer Modelling and Simulation |
|---|
Other
| Other | 10th European Modelling Symposium on Computer Modelling and Simulation, UKSim-AMSS 2016 |
|---|---|
| Country/Territory | Italy |
| City | Pisa |
| Period | 11/28/16 → 11/30/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Artificial Intelligence
- Modeling and Simulation
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