Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
AMZN is aggressively investing in AI, custom chips, and open-sourcing its software stack to defend its moat against rivals ...
Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks
Abstract: Trajectory similarity computation is critical to various spatial data-related applications. To date, many deep learning-based approaches have been proposed to approximate trajectory ...
XDA Developers on MSN
Apple has a sleeper advantage when it comes to local LLMs
Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's ...
Kvax is an open-source library offering fast and efficient attention operations for the JAX framework. Built with Flash Attention 2 algorithms implemented in the Triton language, it is optimised for ...
A Graph Neural Network Charge Model Targeting Accurate Electrostatic Properties of Organic Molecules
School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1 7RU, U.K. Kuano, Hauxton House, Mill Scitech Park, Mill Lane, Cambridge, England CB22 5HX, U.K. Department ...
Using "reduce-overhead" mode and "inductor backend for training, with torch._inductor.config.graph_partition = True. Run into inductor gen-code bug: [rank0]: File ...
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