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cs.DC2026
Exploring Sparse Matrix Multiplication Kernels on the Cerebras CS-3
Milan Shah, Sheng Di, Michela Becchi
In recent years, novel AI accelerators have emerged as promising alternatives to GPUs for AI model training and inference. One such accelerator, the Cerebras CS-3, has demonstrated…
cs.DC2023
Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems
Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli +4
Probabilistic breadth-first traversals (BPTs) are used in many network science and graph machine learning applications. In this paper, we are motivated by the application of BPTs i…