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03/08/2023
RAF: Holistic Compilation for Deep Learning Model Training
As deep learning is pervasive in modern applications, many deep learning...
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02/16/2023
Decoupled Model Schedule for Deep Learning Training
Recent years have seen an increase in the development of large deep lear...
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10/18/2022
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs
As deep learning models nowadays are widely adopted by both cloud servic...
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07/09/2022
TensorIR: An Abstraction for Automatic Tensorized Program Optimization
Deploying deep learning models on various devices has become an importan...
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05/26/2022
Tensor Program Optimization with Probabilistic Programs
Automatic optimization for tensor programs becomes increasingly importan...
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05/03/2021
Bring Your Own Codegen to Deep Learning Compiler
Deep neural networks (DNNs) have been ubiquitously applied in many appli...
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09/30/2020
AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators
Adopting FPGA as an accelerator in datacenters is becoming mainstream fo...
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06/11/2020
Ansor : Generating High-Performance Tensor Programs for Deep Learning
High-performance tensor programs are crucial to guarantee efficient exec...
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07/30/2018
AutoAccel: Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture
CPU-FPGA heterogeneous architectures are attracting ever-increasing atte...
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07/03/2018
