Publication | Closed Access
Web search using mobile cores
195
Citations
16
References
2010
Year
Unknown Venue
Cluster ComputingSearch Engine OptimizationHeterogeneous ComputingInternet-scale Workload GrowthEngineeringComputer ArchitectureProcessor ArchitectureData Center EconomiesData Center WorkloadsInformation RetrievalHigh-performance ArchitectureParallel ComputingManycore ProcessorComputer EngineeringMobile ComputingComputer ScienceSearch Engine DesignEdge ComputingCloud ComputingMobile CoresMany-core ArchitectureParallel ProgrammingMobile Local Search
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.
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