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| Ravi Iyer, Sadagopan Srinivasan, Omesh Tickoo, Zhen Fang, Ramesh Illikkal, Steven Zhang, Vineet Chadha, Paul M. Stillwell Jr., Seung Eun Lee, "CogniServe: Heterogeneous Server Architecture for Large-Scale Recognition," IEEE Micro, vol. 31, no. 3, pp. 20-31, May/June, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/MM.2011.37, author = {Ravi Iyer and Sadagopan Srinivasan and Omesh Tickoo and Zhen Fang and Ramesh Illikkal and Steven Zhang and Vineet Chadha and Paul M. Stillwell Jr. and Seung Eun Lee}, title = {CogniServe: Heterogeneous Server Architecture for Large-Scale Recognition}, journal ={IEEE Micro}, volume = {31}, number = {3}, issn = {0272-1732}, year = {2011}, pages = {20-31}, doi = {http://doi.ieeecomputersociety.org/10.1109/MM.2011.37}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Micro TI - CogniServe: Heterogeneous Server Architecture for Large-Scale Recognition IS - 3 SN - 0272-1732 SP20 EP31 EPD - 20-31 A1 - Ravi Iyer, A1 - Sadagopan Srinivasan, A1 - Omesh Tickoo, A1 - Zhen Fang, A1 - Ramesh Illikkal, A1 - Steven Zhang, A1 - Vineet Chadha, A1 - Paul M. Stillwell Jr., A1 - Seung Eun Lee, PY - 2011 KW - CogniServe KW - large-scale recognition KW - cloud-based computing KW - heterogeneous architecture KW - accelerator KW - mobile/wireless VL - 31 JA - IEEE Micro ER - | |||
As smart mobile devices become pervasive, vendors are offering rich features supported by cloud-based servers to enhance the user experience. Such servers implement large-scale computing environments, where target data is compared to a massive preloaded database. CogniServe is a highly efficient recognition server for large-scale recognition that employs a heterogeneous architecture to provide low-power, high-throughput cores, along with application-specific accelerators.
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