3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.DC2026
An MLIR Lowering Pipeline for Stencils at Wafer-Scale
Nicolai Stawinoga, David Katz, Anton Lydike +4
The Cerebras Wafer-Scale Engine (WSE) delivers performance at an unprecedented scale of over 900,000 compute units, all connected via a single-wafer on-chip interconnect. Initially…
cs.CY2023★ 3 cited
Increased Compute Efficiency and the Diffusion of AI Capabilities
Konstantin Pilz, Lennart Heim, Nicholas Brown
Training advanced AI models requires large investments in computational resources, or compute. Yet, as hardware innovation reduces the price of compute and algorithmic advances mak…