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Talk
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Workshop: Software-Hardware Codesign for Machine Learning Workloads

Carnegie Mellon University


Abstract:

Professor Tze Meng Low - Carnegie Mellon University

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Bio: Tze Meng Low is an Assistant Research Professor with the Department of Electrical and Computer Engineering at Carnegie Mellon University. He graduated from the University of Texas at Austin with an M.S.(C.S) in 2004, and a Ph.D. in Computer Science in 2013. His research focuses on the systematic derivation and implementation of high-performance algorithms through the use of formal methods and analytical models. His goal is to achieve performance portability across both architectures and domains by understanding and capturing the interaction between software algorithms and hardware features through analytical models so as to build better code-generators, and/or software libraries for emerging domains and architectures.

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