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Hans Pabst

Towards a high-performance AI compiler with upstream MLIR

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Apr 15, 2024
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Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures

Apr 25, 2023
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Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads

Apr 14, 2021
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Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case

Mar 18, 2021
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High-Performance Deep Learning via a Single Building Block

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Jun 18, 2019
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Machine Learning in High Energy Physics Community White Paper

Jul 08, 2018
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