"Visual Data Science: Advanced Cyberinfrastructure Systems (poster session)"

Visual Data Science: Advanced Cyberinfrastructure Systems (poster session)

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

Publication: 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:

Highly flexible. Each application defines the resources it needs, and the operating system composes, or combines, resources on the fly.

Scalable. As more infrastructure is added, it’s auto-integrated with the existing infrastructure and becomes part of the pool of capacity.

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>