Abstract: A method includes: dequeuing a signal primitive from a signaling command queue in the set of command queues, the signal primitive pointing to a waiting command queue; in response to the signal primitive pointing to the waiting command queue, incrementing a number of pending signal primitives in the signal-wait counter matrix; dequeuing a wait primitive from the waiting command queue, the wait primitive pointing to the signaling command queue; in response to the wait primitive pointing to the signaling command queue, accessing the register to read the number of pending signal primitives; in response to the number of pending signal primitives indicating at least one pending signal primitive: decrementing the number of pending signal primitives; and dequeuing an instruction from the waiting command queue; and dispatching a control signal representing the instruction to a resource.

Abstract: A method for scheduling an artificial neural network includes: accessing a processor representation of a multicore processor comprising processor cores, direct memory access cores, and a cost model; and accessing a network structure defining a set of layers. The method also includes, for each layer in the set of layers: generating a graph based on the processor representation, the graph defining compute nodes, data transfer nodes, and edges representing dependencies between the compute nodes and the data transfer nodes; and generating a schedule for the layer based on the graph, the schedule assigning the compute nodes to the processor cores and assigning the data transfer nodes to the direct memory access cores. The method further includes aggregating the schedule for each layer in the set of layers to generate a complete schedule for the artificial neural network.