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Moses: Efficient Exploitation of Cross-device Transferable Features for
Tensor Program Optimization

Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization

15 January 2022

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Papers citing "Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization"

3 / 3 papers shown

FTuner: A Fast Dynamic Shape Tensors Program Auto-Tuner for Deep
Learning Compilers

FTuner: A Fast Dynamic Shape Tensors Program Auto-Tuner for Deep Learning Compilers

258

3

0

31 Jul 2024

CDMPP: A Device-Model Agnostic Framework for Latency Prediction of
Tensor Programs

CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs

424

8

0

16 Nov 2023

TLP: A Deep Learning-based Cost Model for Tensor Program Tuning

TLP: A Deep Learning-based Cost Model for Tensor Program TuningInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022

219

55

0

07 Nov 2022

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