A developer released an agentic CUDA kernel optimizer on Hacker News' Show HN that uses LangGraph to autonomously generate, validate, benchmark, and refine GPU kernels, defaulting to OpenAI's gpt-5-mi…
Optimizing CUDA kernels manually is becoming a specialized art, with developers moving beyond basic implementations to structured workflows that prioritize profiling-first approaches using NVIDIA Nsig…
NVIDIA used Nsight Systems and Nsight Compute to optimize its NuRec neural reconstruction pipeline, reducing reconstruction times from hours toward a goal of real-time performance for autonomous vehic…
NVIDIA introduced BEVPoolV3, an optimized bird's-eye-view pooling operator for autonomous vehicles and robotics, reducing latency on RTX GPUs by removing redundant scatter traffic and precomputing ind…
An eBPF agent that attaches to the CUDA runtime, CUDA driver, and Linux kernel scheduler simultaneously can trace a GPU stall back to the exact Python source line that triggered it. The tool correlate…
NVIDIA released CUDA 13.3, introducing tile programming in C++ that automates low-level GPU management for optimized kernel development across all supported architectures. The update also includes CUD…
This week's top GPU news highlights three key developments: the release of Fournex, an open-source tool that analyzes Nsight Compute data to identify and suggest fixes for PyTorch/CUDA bottlenecks; a …