3 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.PL2025
Multi-Language Benchmark Generation via L-Systems
Vinícius Francisco da Silva, Heitor Leite, Fernando Magno Quintão Pereira
L-systems are a mathematical formalism proposed by biologist Aristid Lindenmayer with the aim of simulating organic structures such as trees, snowflakes, flowers, and other branchi…
cs.LG2024
Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate Descent
Michael Canesche, Gaurav Verma, Fernando Magno Quintao Pereira
Machine-learning models consist of kernels, which are algorithms applying operations on tensors -- data indexed by a linear combination of natural numbers. Examples of kernels incl…