This work proposes TileSpMM, which breaks the static-granularity bottleneck through a variable-size tiling algorithm that dynamically adapts to local sparsity patterns, and is equipped with an adaptive load-balancing strategy and customized granularity-specific kernels to improve hardware utilization and mitigate compu...
Hongwei Zeng, Shu-Qin Feng, Hao-Cheng Lian et al.· Proceedings of the Internati...· 0 citations
Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental primitive in scientific computing and artificial intelligence applications. Modern hardware, notably Tensor Core Units (TCUs), offers immense computational power, creating promising opportunities for SpMM acceleration. However, it is difficult to map sparse ma...
Hongwei Zeng, Shu-Qin Feng, Hao-Cheng Lian et al.· Proceedings of the Internati...· 0 citations
ASTRA is a framework that optimizes the holistic streaming CPD process on GPU that integrates the memory pool and asynchronous strategy with compact storage format to reduce idle cycles and execution latency and devises a similarity-aware updating mechanism to reduce the overall workload.
Wenqing Lin, Jianuo Sheng, Shuqin Feng et al.· International Conference on...· 0 citations
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