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September 11-14, 2017 - Los Angeles, CA
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Wednesday, September 13 • 4:50pm - 5:30pm
High Performance Deep Learning on Containers - Khalid Ahmed & Bruce D'amora, IBM

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The field of deep learning has led to the emergence of new frameworks such as Caffee, Torch, and TensorFlow that tackle problems in image recognition, object classification, or machine translation. These systems must interact with containerized micro-services developed using DevOps tools running on popular container management tools such as Kubernetes. In this talk we examine the work in the Kubernetes ecosystem to enable some of the special requirements of deep learning such as GPU support, high speed networking, access to large data sets, ,better batch job scheduling and distributed computing support. We show how the Kubernetes platform can support both CI/CD pipelines and the high performance computing requirements using examples from research and industry.

avatar for Khalid Ahmed

Khalid Ahmed

Distinguished Engineer, IBM
Khalid Ahmed is an STSM, Chief Architect of Infrastructure Software at IBM Platform. He works on the design and architecture of large scale grid and cloud computing systems with focus on scheduling, resource, workload and data management. In over 20 years at industry experience he... Read More →
avatar for Bruce D'amora

Bruce D'amora

Senior Technical Staff Member, IBM
Bruce D’Amora is a Senior Technical Staff Member in the Data Centric Solutions department at IBM T.J. Watson Research Center in Yorktown Heights, NY. He is currently managing the Cognitive and Cloud solutions department focusing on enablement of HPC and Cognitive workflows using... Read More →

Wednesday September 13, 2017 4:50pm - 5:30pm PDT
Diamond Ballroom 7