The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Web search using mobile cores: quantifying and mitigating the price of efficiency
Abstract
The commoditization of hardware, data center economies of scale, and Internet-scale workload growth all demand greater power efficiency to sustain scalability. Traditional enterprise workloads, which are typically memory and I/O bound, have been well served by chip multiprocessors com- prising of small, power-efficient cores. Recent advances in mobile computing have led to modern small cores capable of delivering even better power efficiency. While these cores can deliver performance-per-Watt efficiency for data center workloads, small cores impact application quality-of-service robustness, and flexibility, as these workloads increasingly invoke computationally intensive kernels. These challenges constitute the price of efficiency. We quantify efficiency for an industry-strength online web search engine in production at both the microarchitecture- and system-level, evaluating search on server and mobile-class architectures using Xeon and Atom processors.
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
Cites
The anatomy of a large-scale hypertextual Web search engine
Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004
Cited by
Gan, Y., Zhang, Y., Cheng, D., Shetty, A., Rathi, P., Katarki, N., Bruno, A., Hu, J., Ritchken, B., Jackson, B., et al. (2019) · Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems · doi:10.1145/3297858.3304013 · Cited by 665
Heracles: improving resource efficiency at scale
Lo, D., Cheng, L., Govindaraju, R., Ranganathan, P., & Kozyrakis, C. (2015) · Proceedings of the 42nd Annual International Symposium on Computer Architecture · doi:10.1145/2749469.2749475 · Cited by 466
Workload analysis of a large-scale key-value store
Atikoglu, B., Xu, Y., Frachtenberg, E., Jiang, S., & Paleczny, M. (2012) · ACM SIGMETRICS Performance Evaluation Review · doi:10.1145/2318857.2254766 · Cited by 268
Metadata
- Authors
- Janapa Reddi, V., Lee, B. C., Chilimbi, T., & Vaid, K.
- Venue
- Proceedings of the 37th annual international symposium on Computer architecture
- Publisher
- ACM
- Published
- 2010-06-19
- Pages
- 314-325
- ISSN
- 1063-6897 (ISSN-L)
- OpenAlex
- W2144857621
- Cited by
- 194
- References
- 1
- FWCI
- 16.35
- 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: Web search using mobile cores: quantifying and mitigating the price of efficiency. https://app.cochat.ai/papers/10.1145/1815961.1816002
- The paper
- Janapa Reddi, V., Lee, B. C., Chilimbi, T., & Vaid, K. (2010). Web search using mobile cores: quantifying and mitigating the price of efficiency. Proceedings of the 37th annual international symposium on Computer architecture. https://doi.org/10.1145/1815961.1816002
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.