Lightning Talk: Accelerating PyTorch Performance with OpenVINO - Yamini, Devang & Mustafa
Lightning Talk
Lightning Talk: Accelerating PyTorch Models With Torch.compile's C++ Wrapper Mode - Bin Bao, Meta
Lightning Talk
Lightning Talk: Efficient Inference at the Edge: Performance You Need at the Lowest... - Felix Baum
Lightning Talk
Lightning Talk: AOTInductor: Ahead-of-Time Compilation for PT2 Exported Models - Bin Bao, Meta
Lightning Talk
Lightning Talk: Accelerating Inference on CPU with Torch.Compile - Jiong Gong, Intel
Lightning Talk
Sponsored Session: Lightning Talk: Accelerated Software for a Post-Moore World - Jay Dawani
Sponsored Session:
Lightning Talk: Accelerating On-Device ML Inference With ExecuTorch and Arm SME2 - Jason Zhu, Arm
Lightning Talk
Lightning Talk: LLMs on Edge with AI Accelerators - Chen Lai, Kimish Patel & Cemal Bilgin, Meta
Lightning Talk
Lightning Talk: Faster Than SOTA Kernels in Torch.compile With Subgrap... Elias Ellison & Paul Zhang
Lightning Talk
Lightning Talk: Understanding and Optimizing PyTorch Models with Thunder - Luca Antiga, Lightning AI
Lightning Talk
Lightning Talk: Achieving SOTA GEMM Performance: A CuTeDSL Backend for PyTorch Induc... Nikhil Patel
Lightning Talk
Lightning Talk: Torch-Spyre: Compiling To a Multi-core Dataflow Accelerator... D. Grove & O. Tardieu
Lightning Talk
Sponsored Session: Lightning Talk: Optimizing Model Inference with PyTorch 2.0 - Devansh Ghatak
Sponsored Session: