Phase-Change Technology and the Future of Main Memory
By Benjamin C. Lee, Ping Zhou, Jun Yang, Youtao Zhang, Bo Zhao, Engin Ipek, Onur Mutlu, Doug Burger. IEEE Micro, 2010
427 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture, Materials Chemistry
View Paper: https://www.semanticscholar.org/paper/3f953db9193952f84d7869b0f2f99fb40bdbc442
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Jeremie S. Kim
- Saugata Ghose
- Rachata Ausavarungnirun
- Onur Mutlu
- Juan Gómez-Luna
- Zhong Ming
- Vipin Kumar
- Yoongu Kim
In Hardware and Architecture
- Jeremie S. Kim
- Saugata Ghose
- Rachata Ausavarungnirun
- Onur Mutlu
- Juan Gómez-Luna
- A. L. Narasimha Reddy
- Vipin Kumar
- XiaoJian Wu
In Materials Chemistry
Citations in the corpus
- SCMFS: A file system for Storage Class Memory (2011, background): “Some of these solutions improve the lifetime or the performance of PCM devices at the hardware level [12, 13].”
- RowHammer: A Retrospective (2019, background): “Emerging memory technologies [168], [173], such as phase-change memory [141]–[143], [200],”
- Processing Data Where It Makes Sense: Enabling In-Memory Computation (2019, background): “A number of Ambit-like bitwise operation substrates have been proposed in recent years, making use of emerging resistive memory technologies, e.g., phasechange memory (PCM) [17, 19, 176, 177, 178, 179], SRAM, or specialized computational DRAM.”
- Memory scaling: A systems architecture perspective (2013, methodology): “These emerging technologies usually provide a tradeoff, and seem unlikely to completely replace DRAM (evaluated in [38, 39, 40] for PCM and in [36] for STT-MRAM), as they are not strictly superior to DRAM.”
- Phase-Change Memory Optimization for Green Cloud with Genetic Algorithm (2015, background): “more robust scalability beyond 40 nm than the DRAM does [17].”
- Trends in big data analytics (2014, background): “Other types of NVM such as phase-change memory (PCRAM) and memristors have been proposed to be integrated as byte-addressable memory on the memory bus or stacked directly on the chip (3D-stacking) [82, 72, 83].”