The DOI matches its Crossref record.
Scalable high performance main memory system using phase-change memory technology
Abstract
The memory subsystem accounts for a significant cost and power budget of a computer system. Current DRAM-based main memory systems are starting to hit the power and cost limit. An alternative memory technology that uses resistance contrast in phase-change materials is being actively investigated in the circuits community. Phase Change Memory (PCM) devices offer more density relative to DRAM, and can help increase main memory capacity of future systems while remaining within the cost and power constraints.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Kambatla, K., Kollias, G., Kumar, V., & Grama, A. (2014) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2014.01.003 · Cited by 819
CACTI 7: New Tools for Interconnect Exploration in Innovative Off-Chip Memories
Balasubramonian, R., Kahng, A. B., Muralimanohar, N., Shafiee, A., & Srinivas, V. (2017) · ACM Transactions on Architecture and Code Optimization · doi:10.1145/3085572 · Cited by 559
In-Memory Big Data Management and Processing: A Survey
Zhang, H., Chen, G., Ooi, B. C., Tan, K.-L., & Zhang, M. (2015) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2015.2427795 · Cited by 414
Phase-Change Technology and the Future of Main Memory
Lee, B. C., Zhou, P., Yang, J., Zhang, Y., Zhao, B., Ipek, E., Mutlu, O., & Burger, D. (2010) · IEEE Micro · doi:10.1109/mm.2010.24 · Cited by 395
Consistent and durable data structures for non-volatile byte-addressable memory
Venkataraman, S., Tolia, N. H., Ranganathan, P., & Campbell, R. H. (2011) · doi:10.5555/1960475.1960480 · Cited by 356
Metadata
- Authors
- Qureshi, M. K., Srinivasan, V., & Rivers, J. A.
- Venue
- Proceedings of the 36th annual international symposium on Computer architecture
- Publisher
- ACM
- Published
- 2009-06-20
- Pages
- 24-33
- ISSN
- 1063-6897 (ISSN-L)
- OpenAlex
- W2048588974
- Cited by
- 1,277
- References
- 0
- FWCI
- 119.05
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Scalable high performance main memory system using phase-change memory technology. https://app.cochat.ai/papers/10.1145/1555754.1555760
- The paper
- Qureshi, M. K., Srinivasan, V., & Rivers, J. A. (2009). Scalable high performance main memory system using phase-change memory technology. Proceedings of the 36th annual international symposium on Computer architecture. https://doi.org/10.1145/1555754.1555760
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.