Stream: AI
Time: 14:15 - 15:00
This is a technical deep dive into the capabilities of IBM's Z Deep Learning Compiler(zDLC). Along with a thorough overview of zDLC, I will also give an explanation of Open Neural Network Exchange (ONNX) and LLVM, which are two open source projects that serves as the backbone for zDLC. Would you like to have a further insight into what is being produced by the compiler? What about SIMD instructions and how we can further accelerate specific operations in a model using the IBM Telum's on-chip Integrated AI accelerator? Well the only way to find out, is by joining my session! Let's go exploring!
Megan Hampton is a Backend Developer and Iteration Manager for the IBM Z Deep Learning Compiler (zDLC). Her job consists of writing lower level compiler code in C/ C++ for the IBM and Open Source Community. In addition to development, Megan is also leading a service team for the newly appointed AI ToolKit which provides a plethora of support for AI products on Z. Megan has her Bachelor's Degree from NYU Tandon School of Engineering in Electrical Engineering and her Master's Degree from Marist College in Computer Science. In her free time, Megan loves to volunteer, dance, read, travel and run!
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