Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
Author:
Affiliation:
1. Arizona State University (ASU),USA
2. Technische Universität Wien (TU Wien),Austria
3. New York University Abu Dhabi (NYUAD),UAE
4. Université Polytechnique Hauts-De-France (UPHF),France
Funder
Région Hauts-de-France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9793839/9794139/09794253.pdf?arnumber=9794253
Reference147 articles.
1. LLVM: A compilation framework for lifelong program analysis & transformation
2. Glow: Graph lowering compiler techniques for neural networks;rotem,2018
3. SODA
4. Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks
5. MLPerf Inference Benchmark
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