Long-context training runs on sequences whose lengths span orders of magnitude, and dynamic context parallelism (DCP) gives each sequence its own CP degree. Existing DCP systems either do not scale or perform poorly on mainstream models, leaving Megatron-Core (Mcore) DCP as the only option at production scale. Mcore DC...
Zi-Hao Fan, Yun-Zhuo Liu, Bo Jiang et al.· 0 citations
XnYZip is introduced, an error-bounded lossy compressor based on provably optimal Truncated Octahedron quantization, combined with a locality-aware encoding pipeline using space-filling curves and run-length encoding, to develop a theory of point cloud compressibility for dense data.
You-Yuan Liu, Longtao Zhang, Ruoyu Li et al.· Proceedings of the VLDB Endo...· 0 citations
TOPIQ is presented, a statistical error-propagation framework that predicts QoI-level bias and uncertainty from compact compression metadata (less than 0.1% of original data) and decomposes QoIs into primitive operators with closed-form propagation rules accounting for spatial error correlation and data-error coupling.
You-Yuan Liu, Bo Jiang, Taolue Yang et al.· 0 citations
ParticleGS is a visualization-aware framework based on 3D Gaussian Splatting (3DGS) that learns a compact representation directly optimized for rendered image quality, combining a multi-stage, multi-orbit training pipeline and a lightweight network that adapts a single trained model to user-specified visualization para...
Bo Jiang, You-Yuan Liu, Taolue Yang et al.· arXiv.org· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
