Part I: Programming, compilers, and performance; scheduling, resource management, cloud, edge computing, and workflows; 

Part II: Architectures and accelerators; data analytics, AI and computational science; 

Part III: Theory and algorithms; multidisciplinary, domain-specific and applied parallel and distributed computing.