This is the project repository of our ESEC/FSE 2021 paper: A Comprehensive Study of Deep Learning Compiler Bugs.
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Updated
Aug 15, 2023 - Python
This is the project repository of our ESEC/FSE 2021 paper: A Comprehensive Study of Deep Learning Compiler Bugs.
GenCoG: A DSL-Based Approach to Generating Computation Graphs for TVM Testing (ISSTA‘23)
How does torch.compile() achieve massive speedups despite highly optimized NumPy functions? See how operator fusion makes it fast! ⚡
⏳ Lightweight deep learning library and compiler suite built for educational purposes.
A Branchless, Zero-Jitter Ingress Router for 32-GPU Distributed Mesh Networks utilizing JAX/XLA and NCCL.
Use Pytorch Glow deep learning compiler in a Docker container inside your Github workflows
A from-scratch deep learning compiler: it lowers trained ONNX models through two custom MLIR dialects and a full optimization pipeline to a binary instruction stream for a simulated edge NPU, then runs them in a cycle-costed simulator validated against onnxruntime.
My upstream C++/OpenMP contributions to PyTorch Internals (Inductor BMM kernels, Autograd, & Compiler correctness).
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