2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.PL2026
Enhancing the Power of Polyhedral-Based Optimizations with Coordinate-Based Hill Climbing
Gaurav Verma, Michael Canesche, Fernando Magno Quintão Pereira
This paper describes our experience extending the polyhedral compiler Pluto with a lightweight, coordinate-wise hill-climbing tuner that adjusts numeric transformation parameters,…
cs.PL2023★ 2 cited
Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation
Gaurav Verma, Siddhisanket Raskar, Zhen Xie +3
Tuning tensor program generation involves searching for various possible program transformation combinations for a given program on target hardware to optimize the tensor program e…