In a distributed computing system, task fusion involves combining small tasks into larger tasks. This technique aims to reduce overhead associated with the execution of numerous small tasks by grouping them into more significant units of work. By fusing tasks, the system can reduce the communication and coordination overhead, making the execution more efficient. This is particularly relevant in scenarios where the overhead of managing individual small tasks becomes significant, and grouping them together can improve overall performance. Breaking down large tasks into smaller subtasks is the opposite concept and is referred to as task decomposition. Distributing tasks across nodes and synchronizing task execution are different aspects of distributed computing but not specifically related to task fusion.