Kernel Orchestration

Kernel orchestration focuses on optimizing the execution of computational tasks, particularly within complex systems like deep neural networks and large language model applications, to improve efficiency and performance. Current research emphasizes techniques like fine-grained orchestration using dataflow graphs, reinforcement learning (including hybrid approaches), and retrieval augmented generation for improved code generation in domain-specific languages. These advancements are crucial for enabling efficient resource management in diverse applications ranging from edge computing and robotic process automation to intelligent transportation systems and 6G networks.