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About Lucida

Lucida is a speech and vision based intelligent personal assistant developed in Clarity Lab at the University of Michigan. It is a state­-of-­the-­art infrastructures to study emerging intelligent web services in large scale systems. This website includes a tutorial to help you familiarize with the algorithms, implementations and characteristics of these workloads. The first half of the tutorial covers the machine learning and other algorithmic components underlying modern intelligent web services. In the second half of the tutorial, we discuss the Sirius and DjiNN benchmark suites: 13 web services that span image, speech, and natural language processing applications. We discuss the design of these applications as well as how they can be used to study the design of future datacenter architectures.

Publications

[1] [pdf]Johann Hauswald, Michael A. Laurenzano, Yunqi Zhang, Cheng Li, Austin Rovinski, Arjun Khurana, Ron Dreslinski, Trevor Mudge, Vinicius Petrucci, Lingjia Tang, and Jason Mars. "Sirius: An open end-to-end voice and vision personal assistant and its implications for future warehouse scale computers." Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems. ACM, 2015.
[2] [pdf]Johann Hauswald, Yiping Kang, Michael A. Laurenzano, Quan Chen, Cheng Li, Trevor Mudge, Ronald G. Dreslinski, Jason Mars, and Lingjia Tang. "DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers." Proceedings of the 42nd Annual International Symposium on Computer Architecture. ACM, 2015.