Configurable Spatial Accelerator Dataflow Execution Circuits

The processor is divided into multiple independent processing elements (PEs) that operate in parallel, each handling specific dataflow operations. This segmentation eliminates the need for complex centralized control structures like out-of-order scheduling and large register files, as each PE is simpler and more energy-efficient while collectively achieving high performance through parallel execution

The dataflow architecture allows operations to execute automatically when input data is available and output space exists, without requiring complex control logic. The system self-regulates through back-pressure mechanisms where downstream PEs signal upstream PEs when their output buffers are full, eliminating the need for energy-intensive control units while maintaining correct execution order

The complex control overhead structures (out-of-order schedulers, complex register files, branch prediction units) are extracted and removed from the architecture. Instead, a simpler dataflow control mechanism is implemented where control signals are passed explicitly between PEs through the interconnect network, maintaining functionality while dramatically reducing energy consumption associated with control logic

The architecture uses dynamic dataflow execution where the activation of each PE is determined by the availability of input data and the status of output buffers. This dynamic execution model allows the system to adapt to different computational workloads without requiring static control structures, achieving versatility with minimal energy overhead