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UniSparse: An Intermediate Language for General Sparse Format Customization
March 12, 2024, 4:51 a.m. | Jie Liu, Zhongyuan Zhao, Zijian Ding, Benjamin Brock, Hongbo Rong, Zhiru Zhang
cs.CL updates on arXiv.org arxiv.org
Abstract: The ongoing trend of hardware specialization has led to a growing use of custom data formats when processing sparse workloads, which are typically memory-bound. These formats facilitate optimized software/hardware implementations by utilizing sparsity pattern- or target-aware data structures and layouts to enhance memory access latency and bandwidth utilization. However, existing sparse tensor programming models and compilers offer little or no support for productively customizing the sparse formats. Additionally, because these frameworks represent formats using a …
abstract arxiv cs.cl customization data format general hardware intermediate language latency memory processing software sparsity trend type workloads
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