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Understanding JAX: JIT, XLA, and Pure Functions Explained
PyTorch in 100 Seconds
how thunder.jit works under the hood - steps to compile PyTorch models to optimized Python functions
Just In Time (JIT) Compilers - Computerphile
Understanding AOT Compilers, JIT Compilers, and Interpreters
PyTorch - torch.jit Optimize your model
MoreVMs'22 - Torchy: A Tracing JIT Compiler for PyTorch
PyTorch Day India 2026 Building Effective Compilers for AI Programming Frameworks Uday Bondhugula, I
What’s new in PyTorch 1.3 - Lin Qiao
PyTorch on Google Cloud TPUs - Google, Salesforce, Facebook
PyTorch 2.0: TorchDynamo
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Last Updated: September 29, 2026
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Summary
In this talk, we dive deep into TorchScript and In this talk, scientist Lindsey Gray and Ph.D. student Matthias Fey co-examine how the challenges of High Energy Particle Physics ... Speaker: Nuno Lopes, Principal Researcher, Microsoft Research Cambridge This session will introduce current technologies to ... TorchScript allows developers to create serializable and optimizable models from Are you exploring JAX for the first time and feeling overwhelmed by terms "functional purity," "explicit state," and " The Thunder Sessions is a chat about deep learning compilers and how the sausage is made, with hosts Luca Antiga, CTO, and ... A look at why (under certain circumstances) Speaker: Nuno Lopes Presented at MoreVMs'22: 2022.programming-conference.org/home/MoreVMs-2022. This talk will focus on the role of compilers in the era of AI programming frameworks (e.g. Get an overview of the latest updates in