Targeting high-performance ML accelerators using XLA





Who is this presentation for?
- Software developers
Level
Description
Victoria Rege and David Norman outline the best practices that have emerged as part of Graphcore’s integration process with Poplar. They detail the company’s insights and optimizations with the broader TensorFlow developer community so it can run its models built with TensorFlow more efficiently.
You’ll walk away knowing how to optimize new ML accelerators, in particular, the intelligence processing unit, and how to use the Poplar software stack and TensorFlow using the XLA backend.
Prerequisite knowledge
- General knowledge of TensorFlow
- Experience with GPUs
What you'll learn
- Understand how the TensorFlow XLA backend works and how to use it to efficiently target advanced ML accelerators

Victoria Rege
Graphcore
Victoria Rege is the head of strategic partnerships at Graphcore, where she works with key customers and leads research and universities AI engagements. She has over a decade of experience in the semiconductor space. Previously, she held several leadership positions at NVIDIA from global alliances, product marketing, and campaigns to the founding of the GPU Technology Conference; and she has worked in the hedge fund space as executive director for the Hedge Fund Business Operations Association. Victoria is a frequent contributor to ACM SIGGRAPH and is AR, MR & VR Chair for the SIGGRAPH 2019 Conference. She’s also an active member of the Consumer Technology Association’s AI Working Group.

David Norman
Graphcore
Dave Norman is the director of machine learning frameworks at Graphcore, where he heads the frameworks team and is the creator of the intelligence procession unit and Poplar Software. He’s been in software engineering for over 25 years, specializing in real-time, high-performance and embedded systems. Previously, he was at Hewlett Packard, writing control software for experimental wireless and broadband modems; has worked for various companies on drivers for novel hardware, 3G/4G base stations, and the tools chain for an FPGA-like architecture; and worked abroad in New Zealand developing real-time weather graphics.
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