Reed-Solomon (RS) Code is extensively deployed in large-scale distributed storage systems to provide high data reliability. However, existing RS-based repair methods typically rely on a deterministic assumption of constant cross-rack available bandwidth, failing to account for the stochastic network dynamics inherent i...
Hui-Zhao Feng, Yi-Kun Hu, Zhen Luo et al.· Proceedings of the Internati...· 0 citations
CoTC-SpMM is introduced, a cooperative Tensor–CUDA cores scheme for efficient SpMM on GPUs that first proposes the HTC format to partition sparse matrices into dense and sparse components, enabling specialized kernels to leverage the distinct advantages of different computing units and maximize hardware utilization.
Qi Du, Sheng-Le Lin, Yue-Dan Chen et al.· Proceedings of the Internati...· 0 citations
Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental operation in scientific computing and artificial intelligence. However, the inherent sparsity and irregularity of real-world datasets present significant challenges for developing high-performance SpMM kernels on modern GPUs. Existing approaches typically focu...
Qi Du, Shengle Lin, Yuedan Chen et al.· Proceedings of the Internati...· 0 citations
This work proposes CORA-Diff, a training-free method that preserves the original transfer rule and applies confidence-and-persistence gating only to positions that rule leaves unresolved, and shows that native confidence and persistence enable reliable residual acceptance, reducing repeated denoising computation while...
Yifan Wu, Yu-Feng Zhang, Kenli Li· 0 citations
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