What changes when independent work is divided into workgroups?
A graphics processor is designed to organize lots of similar, independent operations. This schematic uses 24 identical abstract tasks. First, advance one task at a time. Then partition that same grid into workgroups and watch several groups become active together.
Choose “One task at a time.” The highlighted square advances through the same 24-task grid in order. This is a contrast case, not a model of a CPU.
Partition independent work
Switch to “Independent workgroups.” The dispatcher draws boundaries around tasks and assigns several groups to the illustrated lanes. Within this diagram, active groups make progress together.
Change the group count
Increase Workgroups shown. The model redraws a different partition of the same task grid. It deliberately does not calculate time, throughput, occupancy, memory traffic, or a speedup.
The main parts
Abstract task grid
Each square stands for one independent, identical unit of work in this teaching model. It is not an instruction, pixel, shader program, or measured amount of computation.
Dispatcher
The schematic dispatcher assigns the task grid either as one ordered queue or as numbered workgroups. Real GPU scheduling is more complex and hardware-specific.
Workgroups
A workgroup is a set of related work-items defined by a program. The colored outlines show a teaching partition, not physical processor boundaries.
Execution lanes
These lanes visualize concurrent group activity in the model. They do not represent a count of cores, streaming multiprocessors, threads, or any particular GPU architecture.