TY - JOUR
T1 - Hands-on with IBM Visual Insights
AU - Luo, Shirui
AU - Kindratenko, Volodymyr
N1 - Funding Information:
This work was supported by the National Science Foundation’s Major Research Instrumentation program under Grant 1725729, as well as the University of Illinois at Urbana-Champaign.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - IBM Visual Insights consists of hardware, resource management, deep learning computation, service management, and application service layers. The infrastructure layer includes the actual hardware needed to run the tools, such as CPUs, GPUs, storage, and network. The resource management layer is responsible for coordinating and scheduling all these resources to carry out a particular sequence of operations. The deep learning (DL) calculation layer includes the implementation of actual DL algorithms as well as data processing, model, and prediction modules. DL models implemented in this layer include GoogLeNet for image classification, Faster R-CNN, tiny YOLO V2, and Detectron.
AB - IBM Visual Insights consists of hardware, resource management, deep learning computation, service management, and application service layers. The infrastructure layer includes the actual hardware needed to run the tools, such as CPUs, GPUs, storage, and network. The resource management layer is responsible for coordinating and scheduling all these resources to carry out a particular sequence of operations. The deep learning (DL) calculation layer includes the implementation of actual DL algorithms as well as data processing, model, and prediction modules. DL models implemented in this layer include GoogLeNet for image classification, Faster R-CNN, tiny YOLO V2, and Detectron.
UR - http://www.scopus.com/inward/record.url?scp=85090151038&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090151038&partnerID=8YFLogxK
U2 - 10.1109/MCSE.2020.3009765
DO - 10.1109/MCSE.2020.3009765
M3 - Article
AN - SCOPUS:85090151038
SN - 1521-9615
VL - 22
SP - 108
EP - 112
JO - Computing in Science and Engineering
JF - Computing in Science and Engineering
IS - 5
M1 - 9171933
ER -