CoDSA: A Hybrid Tensor Compilation Framework Integrating Coordinate Descent with Dynamic Simulated Annealing
The deployment of Deep Learning models on heterogeneous hardware necessitates optimized tensor programs to utilize computational resources. While auto-tuning frameworks like Ansor employ evolutionary search strategies, they suffer from limitations, including slow convergence, memory consumption, and a tendency to stagn...