Author

Hun-Seok Kim

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#artificial intelligence Preprint Oct 2026

DyRA: Dynamic Residual Approximation for Efficient Matrix Multiplication in DNNs

Large-scale foundation models achieve strong performance across diverse tasks, but their size makes inference costly, largely due to dense matrix multiplications. Prior work reduces this cost by replacing dense weight matrices with efficient structured forms such as low-rank factorizations. However, these methods appro...

Daewon Chae, Hyunwon Chung, Changwoo Lee et al. · 0 citations

Book Open access Jul 2026

Accelerating Block Low-Rank Foundation Model Inference on Memory-Constrained GPUs

This work introduces custom Triton kernels with partial fusion and memory layout optimizations for both Monarch and BLAST, and delivers up to 3.76 × speedups and 3 × model size compression over PyTorch dense baselines using CUDA backend and compiler-level optimizations.

Pierre Abillama, Changwoo Lee, Juechu Dong et al. · IEEE International Symposium... · 0 citations