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Core fusion: accommodating software diversity in chip multiprocessors
Abstract
This paper presents core fusion, a reconfigurable chip multiprocessor(CMP) architecture where groups of fundamentally independent cores can dynamically morph into a larger CPU, or they can be used as distinct processing elements, as needed at run time by applications. Core fusion gracefully accommodates software diversity and incremental parallelization in CMPs. It provides a single execution model across all configurations, requires no additional programming effort or specialized compiler support, maintains ISA compatibility, and leverages mature micro-architecture technology.
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Cited by
Dark silicon and the end of multicore scaling
Esmaeilzadeh, H., Blem, E., St. Amant, R., Sankaralingam, K., & Burger, D. (2011) · Proceedings of the 38th annual international symposium on Computer architecture · doi:10.1145/2000064.2000108 · Cited by 1,532
Amdahl's Law in the Multicore Era
Hill, M. D., & Marty, M. R. (2008) · Computer · doi:10.1109/mc.2008.209 · Cited by 1,262
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network
Sharma, H., Park, J., Suda, N., Lai, L., Chau, B., Kim, J. K., Chandra, V., & Esmaeilzadeh, H. (2018) · 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture (ISCA) · doi:10.1109/isca.2018.00069 · Cited by 543
Metadata
- Authors
- Ipek, E., Kirman, M., Kirman, N., & Martinez, J. F.
- Venue
- Proceedings of the 34th annual international symposium on Computer architecture
- Publisher
- ACM
- Published
- 2007-06-09
- Pages
- 186-197
- ISSN
- 1063-6897 (ISSN-L)
- OpenAlex
- W2167556016
- Cited by
- 283
- References
- 0
- FWCI
- 22.79
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Core fusion: accommodating software diversity in chip multiprocessors. https://app.cochat.ai/papers/10.1145/1250662.1250686
- The paper
- Ipek, E., Kirman, M., Kirman, N., & Martinez, J. F. (2007). Core fusion: accommodating software diversity in chip multiprocessors. Proceedings of the 34th annual international symposium on Computer architecture. https://doi.org/10.1145/1250662.1250686
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.
