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

Publication: UIC Foundations of Data Science Institute (an NSF Harnessing the Data Revolution (HDR) TRIPODS grant), Open House, Discovery Partners Institute, Chicago, IL

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.

Funded in part by NSF award #CNS-1828265.

Date: January 17, 2020

Document: View PDF

Related Entries

Directory:

• Maxine Brown
• Andrew Johnson
• Lance Long
• Luc Renambot

Research:

• COMPaaS DLV: Composable Platform as a Service Instrument for Deep Learning & Visualization
• COMPaaS DLV User Community

Related Categories

• Data Science
• Devices
• Instrumentation
• User Groups
• Visual Analytics
• Visual Informatics
• Visualization