40 citations · 40 across the 2 of their papers we have counts for
2 papers
cs.PL2025
Morello: Compiling Fast Neural Networks with Dynamic Programming and Spatial Compression
Samuel J. Kaufman, René Just, Rastislav Bodik
High-throughput neural network inference requires coordinating many optimization decisions, including parallel tiling, microkernel selection, and data layout. The product of these…
cs.PF2020★ 40 cited
A Learned Performance Model for Tensor Processing Units
Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou +4
Accurate hardware performance models are critical to efficient code generation. They can be used by compilers to make heuristic decisions, by superoptimizers as a minimization obje…