1. 2020. Google breaks AI performance records in MLPerf with world’s fastest training supercomputer. https://cloud.google.com/blog/products/ai-machine-learning/google-breaks-ai-performance-records-in-mlperf-with-worlds-fastest-training-supercomputer 2020. Google breaks AI performance records in MLPerf with world’s fastest training supercomputer. https://cloud.google.com/blog/products/ai-machine-learning/google-breaks-ai-performance-records-in-mlperf-with-worlds-fastest-training-supercomputer
2. 2021. MLPerf Training v1.1. https://mlcommons.org/en/training-normal-11/ 2021. MLPerf Training v1.1. https://mlcommons.org/en/training-normal-11/
3. 2021. XLA: Optimizing Compiler for TensorFlow. https://www.tensorflow.org/xla 2021. XLA: Optimizing Compiler for TensorFlow. https://www.tensorflow.org/xla
4. 2022. NVIDIA H100 Tensor Core GPU Architecture. https://www.hpctech.co.jp/catalog/gtc22-whitepaper-hopper_v1.01.pdf 2022. NVIDIA H100 Tensor Core GPU Architecture. https://www.hpctech.co.jp/catalog/gtc22-whitepaper-hopper_v1.01.pdf
5. 2022. XLA DynamicSlice Semantics. https://www.tensorflow.org/xla/operation_semantics##dynamicslice 2022. XLA DynamicSlice Semantics. https://www.tensorflow.org/xla/operation_semantics##dynamicslice