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September 11-14, 2017 - Los Angeles, CA
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Monday, September 11 • 2:50pm - 3:30pm
Cognitive Workloads on the Cloud: What Clouds Need To Do - Khoa Huynh, Larry Brown & Brian Wan, IBM

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With the emergence of new powerful hardware accelerators, such as Graphical Processing Units (GPUs) and Programmable Field Gate Arrays (FPGAs), more and more artificial intelligence (AI) has appeared in our daily lives, from Siri, Alexa, language translation, image recognition, to self-driving cars. The cognitive era has truly begun. In this presentation, we will look at the key characteristics of cognitive workloads, including the deep-learning workloads that employ neural networks to solve complex AI problems. Popular software stacks and frameworks supporting these workloads, such as TensorFlow and Caffe, will be discussed. We will then present some performance data to show how well typical cognitive workloads, such as neural network model training, run on GPUs and FPGAs that are available on public clouds, such as IBM SoftLayer, Amazon Web Services (AWS), Microsoft Azure, and others. Finally, we provide some recommendations on what public clouds should provide, in terms of hardware and software images, to optimize for cognitive workloads.


Larry Brown

Dr. Larry Brown is a Senior Programmer in the IBM Watson Cloud division. He has over 30 years of academic and industry experience in distributed systems, databases, fault tolerant software, web services, information management, and customer consulting. His current areas of interest... Read More →
avatar for Khoa Huynh

Khoa Huynh

IBM Senior Technical Staff Member (STSM), IBM
Dr. Khoa Huynh has over 30 years of experience in product and cloud service development, testing, performance analysis, and customer support. Khoa joined IBM in 1989 where he first worked on OS/2 and Linux operating systems, and is currently an IBM Senior Technical Staff Member (STSM... Read More →

Brian Wan

Software Engineer, IBM
Brian Wan is a University of California, Santa Barbara graduate and is currently an IBM Software Engineer in the IBM Watson Cloud division, working on deep learning workloads on different GPUs and FPGAs. His current areas of interest are in machine learning, cloud computing, and Python... Read More →

Monday September 11, 2017 2:50pm - 3:30pm PDT
Diamond Ballroom 3
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