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Supriya Rao
Supriya Rao is an Engineering Manager working on PyTorch at Meta. Her team works on architecture optimization techniques like quantization, pruning as well as other core components of PyTorch 2.0 whereby enabling users to run AI models on different HW efficiently using native PyTorch. Prior to Meta, she worked as a software engineer at Nvidia on improving their GPU Architecture and accelerating AI models via TensorRT for inference. Supriya has an MS in CSE from University of Michigan, Ann Arbor and a bachelor's degree from Bits Pilani, India
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authoredAccelerating Transformer Inference and Training with 2:4 Activation Sparsitypaper ↗authoredExecuTorch - A Unified PyTorch Solution to Run AI Models On-Devicepaper ↗authoredNeurIPS 2023 LLM Efficiency Fine-tuning Competitionpaper ↗authoredTorchAO: PyTorch-Native Training-to-Serving Model Optimizationpaper ↗spoke_atPyTorch 2.1 - New Developmentstalk ↗spoke_atPyTorch Insights (keynote)talk ↗presentedScale By the Bay 2023 intro video by Supriya Raotalk ↗presentedPyTorch 2.1 - New Developmentstalk ↗works atMetacompany ↗