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Near-Data Processing: Insights from a MICRO-46 Workshop
Abstract
The cost of data movement in big-data systems motivates careful examination of near-data processing (NDP) frameworks. The concept of NDP was actively researched in the 1990s, but gained little commercial traction. After a decade-long dormancy, interest in this topic has spiked. A workshop on NDP was organized at MICRO-46 and was well attended. Given the interest, the organizers and keynote speakers have attempted to capture the key insights from the workshop into an article that can be widely disseminated. This article describes the many reasons why NDP is compelling today and identifies key upcoming challenges in realizing the potential of NDP.
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Cited by
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Practical Near-Data Processing for In-Memory Analytics Frameworks
Gao, M., Ayers, G., & Kozyrakis, C. (2015) · 2015 International Conference on Parallel Architecture and Compilation (PACT) · doi:10.1109/pact.2015.22 · Cited by 266
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Siegl, P., Buchty, R., & Berekovic, M. (2016) · Proceedings of the Second International Symposium on Memory Systems · doi:10.1145/2989081.2989087 · Cited by 55
Trustworthy AI Inference Systems: An Industry Research View
Cammarota, R., Schunter, M., Rajan, A., Boemer, F., Kiss, Á., Treiber, A., Weinert, C., Schneider, T., Stapf, E., Sadeghi, A.-R., et al. (2020) · arXiv · doi:10.48550/arxiv.2008.04449 · Cited by 9
Metadata
- Authors
- Balasubramonian, R., Chang, J., Manning, T., Moreno, J. H., Murphy, R., Nair, R., & Swanson, S.
- Venue
- IEEE Micro
- Published
- 2014-07
- Volume
- 34
- Issue
- 4
- Pages
- 36-42
- ISSN
- 0272-1732 (ISSN-L)
- 1937-4143
- OpenAlex
- W2048466306
- Cited by
- 235
- References
- 0
- FWCI
- 33.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- Balasubramonian, R., Chang, J., Manning, T., Moreno, J. H., Murphy, R., Nair, R., & Swanson, S. (2014). Near-Data Processing: Insights from a MICRO-46 Workshop. IEEE Micro. https://doi.org/10.1109/mm.2014.55
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.