Visual Data Science: Advanced Cyberinfrastructure Systems (poster session)

Brown, M.,Renambot, L.,Johnson, A.,Long, L.

Location: Discovery Partners Institute, Chicago, IL
PDF: compaas_dlv_visualdatascience_tripod.pdf

COMPaaS DLV, COMposable Platform as a Service Instrument for Deep Learning & Visualization, was purchased from Liqid, Inc., with NSF funds. Its 4th-generation computer architecture, composable infrastructure, treats computer components - computer processing units (CPUs), graphical processing units (GPUs), networking, memory and storage - as pools of resources. It is:

<ul><li>Highly flexible. Each application defines the resources it needs, and the operating system composes, or combines, resources on the fly.</li>
<li>Scalable. As more infrastructure is added, it’s auto-integrated with the existing infrastructure and becomes part of the pool of capacity.</li>
<li>High-throughput. System components are interconnected with a high-speed internal fabric, enabling Big Data to quickly move among CPU, GPU, memory and storage at optimum speeds with little to no bottlenecks.</ul></li>
Funded in part by NSF award #CNS-1828265.

Citation: Brown, M., Renambot, L., Johnson, A., Long, L., Visual Data Science: Advanced Cyberinfrastructure Systems (poster session), UIC Foundations of Data Science Institute (an NSF Harnessing the Data Revolution (HDR) TRIPODS grant), Open House, Discovery Partners Institute, Chicago, IL, 2020-01-17.