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gpuvis: GPU Trace Visualizer

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  1. TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations

    TrackEverything is a novel 3D point tracker that overcomes the trade-off between sparse long-horizon tracking and dense short-clip tracking. It represents videos as persistent 3D scene tracks, scaling with unique physical geometry rather than video duration, and achieves dense tracking for over 1000 frames within 40 GB of GPU memory.

    Hugging Face Daily Papersarxiv.org1 minpaper
  2. Measuring the Checker: Mutation Analysis for GPU-Kernel Benchmark Oracles

    The paper introduces mutation analysis as a quantitative adequacy metric for GPU‑kernel benchmark oracles. By injecting 10,303 deterministic faults into 188 verified CUDA kernels (7,384 with a known kill witness), they show the official KernelBench checker misses 16.9% of faults—especially 78.6% of precision‑related faults. Their analysis quantifies the impact of existing patches (e.g., KernelBen…

    Hugging Face Daily Papersarxiv.org1 minpaper
  3. TRACE: Temporal Audit and Condition-aware Evaluation of Streaming Video Understanding

    TRACE is a condition-aware benchmark for streaming video understanding that makes evidence timing and trigger conditions explicit, and measures answer quality, timeliness, workload, and reliability. Experiments on 1,240 records show that identical QA accuracy can hide large differences in completion, false alarms, and processing cost.

    Hugging Face Daily Papersarxiv.org1 minpaper