TY - JOUR
T1 - CogniServe
T2 - Heterogeneous server architecture for large-scale recognition
AU - Iyer, Ravi
AU - Srinivasan, Sadagopan
AU - Tickoo, Omesh
AU - Fang, Zhen
AU - Illikkal, Rameshkumar
AU - Zhang, Steven
AU - Chadha, Vineet
AU - Stillwell, Paul M.
AU - Lee, Seung Eun
PY - 2011/5
Y1 - 2011/5
N2 - 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.
AB - 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.
KW - accelerator
KW - cloud-based computing
KW - CogniServe
KW - heterogeneous architecture
KW - large-scale recognition
KW - mobile/wireless
UR - http://www.scopus.com/inward/record.url?scp=79959195125&partnerID=8YFLogxK
U2 - 10.1109/MM.2011.37
DO - 10.1109/MM.2011.37
M3 - Article
AN - SCOPUS:79959195125
SN - 0272-1732
VL - 31
SP - 20
EP - 31
JO - IEEE Micro
JF - IEEE Micro
IS - 3
M1 - 5753878
ER -