Abstract: A router may include input buffers that receive a packet being transmitted from a source to a destination, a state generator that determines a state for the packet, and a memory representing weights for actions corresponding to possible states. The memory may be configured to return an action corresponding to the state of the packet, where the action may indicate a next hop in the route between the source and the destination. The router may also include reward logic configured to generate the weights for the plurality of actions in the memory. The reward logic may receive a global reward corresponding to the route between the source and the destination, calculate a local reward corresponding to next hops available to the router; and combine the global reward and the local reward to generate the weights for the plurality of actions in the memory.

Abstract: A router may include input buffers that receive a packet being transmitted from a source to a destination, a state generator that determines a state for the packet, and a memory representing weights for actions corresponding to possible states. The memory may be configured to return an action corresponding to the state of the packet, where the action may indicate a next hop in the route between the source and the destination. The router may also include reward logic configured to generate the weights for the plurality of actions in the memory. The reward logic may receive a global reward corresponding to the route between the source and the destination, calculate a local reward corresponding to next hops available to the router; and combine the global reward and the local reward to generate the weights for the plurality of actions in the memory.

Abstract: A method of inducing sparsity for outputs of neural network layer may include receiving outputs from a layer of a neural network; partitioning the outputs into a plurality of partitions; identifying first partitions in the plurality of partitions that can be treated as having zero values; generating an encoding that identifies locations of the first partitions among remaining second partitions in the plurality of partitions; and sending the encoding and the second partitions to a subsequent layer in the neural network.

Abstract: A network-on-package (NoPK) for connecting a plurality of chiplets may include a plurality of interface bridges configured to convert a plurality of protocols used by the plurality of chiplets into a common protocol, a routing network configured to route traffic between the plurality of interface bridges using the common protocol, and a controller configured to program the plurality of interface bridges and the routing network based on types of the plurality of chiplets connected to the NoPK. The NoPK may provide a scalable connection for any number of chiplets from different ecosystems using different communication protocols.

Abstract: A network-on-package (NoPK) for connecting a plurality of chiplets may include a plurality of interface bridges configured to convert a plurality of protocols used by the plurality of chiplets into a common protocol, a routing network configured to route traffic between the plurality of interface bridges using the common protocol, and a controller configured to program the plurality of interface bridges and the routing network based on types of the plurality of chiplets connected to the NoPK. The NoPK may provide a scalable connection for any number of chiplets from different ecosystems using different communication protocols.