The DOI matches its Crossref record.
RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization
Abstract
Several system-level operations trigger bulk data copy or initialization. Even though these bulk data operations do not require any computation, current systems transfer a large quantity of data back and forth on the memory channel to perform such operations. As a result, bulk data operations consume high latency, bandwidth, and energy--degrading both system performance and energy efficiency.
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Cited by
Temporal correlation detection using computational phase-change memory
Sebastian, A., Tuma, T., Papandreou, N., Le Gallo, M., Kull, L., Parnell, T., & Eleftheriou, E. (2017) · Nature Communications · doi:10.1038/s41467-017-01481-9 · Cited by 241
Processing data where it makes sense in modern computing systems: Enabling in-memory computation
Mutlu, O. (2018) · 2018 7th Mediterranean Conference on Embedded Computing (MECO) · doi:10.1109/meco.2018.8405955 · Cited by 30
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Metadata
- Authors
- Seshadri, V., Kim, Y., Fallin, C., Lee, D., Ausavarungnirun, R., Pekhimenko, G., Luo, Y., Mutlu, O., Gibbons, P. B., Kozuch, M. A., & Mowry, T. C.
- Venue
- Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture
- Publisher
- ACM
- Published
- 2013-12-07
- Pages
- 185-197
- ISSN
- 1072-4451 (ISSN-L)
- OpenAlex
- W2170257519
- Cited by
- 337
- References
- 0
- FWCI
- 14.53
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization. https://app.cochat.ai/papers/10.1145/2540708.2540725
- The paper
- Seshadri, V., Kim, Y., Fallin, C., Lee, D., Ausavarungnirun, R., Pekhimenko, G., Luo, Y., Mutlu, O., Gibbons, P. B., Kozuch, M. A., & Mowry, T. C. (2013). RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization. Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture. https://doi.org/10.1145/2540708.2540725
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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.
