HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific
Applications
HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific
Applications
The end of Dennard scaling and the slowdown of Moore's Law led to heterogeneous architectures benefiting machine learning (ML) algorithms. These hardware advancements and the development of intuitive domain-specific languages have made ML more accessible, democratizing innovation. ML models surpass traditional approximation limits, broadening opportunities and evolving from statistical to …