The Vision Behind MLPerf: Understanding AI Inference Performance
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Carole-Jean Wu | Gennady Pekhimenko | Thomas B. Jablin | Vijay Janapa Reddi | Guenther Schmuelling | Francisco Massa | Tom St. John | Maximilien Breughe | Anton Lokhmotov | Ashish Sirasao | Itay Hubara | Ramesh Chukka | Dilip Sequeira | George Yuan | David Kanter | Cody Coleman | Peter Mattson | Christine Cheng | Brian Anderson | Pankaj Kanwar | Gennady Pekhimenko | Itay Hubara | Francisco Massa | Peter Mattson | Christine Cheng | David Kanter | V. Reddi | T. S. John | Carole-Jean Wu | Anton Lokhmotov | T. Jablin | Cody Coleman | R. Chukka | Guenther Schmuelling | Pankaj Kanwar | Ashish Sirasao | Brian A. Anderson | Maximilien Breughe | George Yuan | Dilip Sequeira
[1] David Patterson,et al. MLPerf Training Benchmark , 2019, MLSys.
[2] Koan-Sin Tan,et al. MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It , 2020, ArXiv.
[3] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[4] Cody Coleman,et al. MLPerf Inference Benchmark , 2019, 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA).
[5] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[6] Carole-Jean Wu,et al. The Architectural Implications of Facebook's DNN-Based Personalized Recommendation , 2019, 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA).
[7] Yinghai Lu,et al. Deep Learning Recommendation Model for Personalization and Recommendation Systems , 2019, ArXiv.
[8] Maximilian Lam,et al. Benchmarking TinyML Systems: Challenges and Direction , 2020, ArXiv.
[9] Carole-Jean Wu,et al. MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance , 2020, IEEE Micro.
[10] Martin Wattenberg,et al. Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation , 2016, TACL.
[11] Jens Petersen,et al. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation , 2020, Nature Methods.