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UID:submissions.supercomputing.org_SC18_sess276@linklings.com
SUMMARY:Machine Learning and AI
DESCRIPTION:Cassandra in Dockers Deployment Using an NVMe Fabric\n\nThe Ca
 ssandra distributed database achieves high throughput and large capacity a
 t an unparalleled resiliency by scaling linearly to a large number of node
 s, while keeping multiple copies of the data. This comes at the price of i
 ncreased latency and inefficient use of CPU and storage. Viking Enterpri..
 .\n\n\nKais Belgaied and David Paulsen (Viking Enterprise Solutions)\n----
 -----------------\nData Protection Solutions for ML/AI\n\nIgneous has cust
 omers building artificial intelligence models that revolutionize the diagn
 osis and treatment of cancer and other life-threatening diseases. Their ma
 chine learning workflows utilize a proprietary storage solution as an arch
 ive tier, working in conjunction with high performance storage...\n\n\nAll
 ison Armstrong and David Clements (Igneous Systems Inc)\n-----------------
 ----\nManaging the Convergence of HPC and AI\n\nHPC environments are the m
 ost significant source of processing capacity in many organizations, and m
 ore users want to leverage the power of the “SuperComputer" for their work
 loads to get performance beyond the single box.  These "new customers" for
  your HPC cluster may have little knowledge on how t...\n\n\nJ.J. Falkange
 r (Lenovo)\n\nTag: Data Management, Machine Learning, Containers\n\nSessio
 n Chair: Preston Smith (Purdue University)
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