Abstract: A switch equipped with a self-managing reduction engine is provided. During operation, the reduction engine can use a timeout mechanism to manage itself in different latency-induced or error scenarios. As a result, the network can facilitate an efficient and scalable environment for high performance computing.

Abstract: A switch equipped with a self-managing reduction engine is provided. During operation, the reduction engine can use a timeout mechanism to manage itself in different latency-induced or error scenarios. As a result, the network can facilitate an efficient and scalable environment for high performance computing.

Abstract: A switch architecture for a data-driven intelligent networking system is provided. The system can accommodate dynamic traffic with fast, effective congestion control. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow are acknowledged after reaching the egress point of the network, and the acknowledgement packets are sent back to the ingress point of the flow along the same data path. As a result, each switch can obtain state information of each flow and perform flow control on a per-flow basis.

Abstract: A switch architecture for a data-driven intelligent networking system is provided. The system can accommodate dynamic traffic with fast, effective congestion control. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow are acknowledged after reaching the egress point of the network, and the acknowledgement packets are sent back to the ingress point of the flow along the same data path. As a result, each switch can obtain state information of each flow and perform flow control on a per-flow basis.

Abstract: A switch equipped with a self-managing reduction engine is provided. During operation, the reduction engine can use a timeout mechanism to manage itself in different latency-induced or error scenarios. As a result, the network can facilitate an efficient and scalable environment for high performance computing.

Abstract: A switch equipped with a reduction engine capable of being dynamically allocated in a network is provided. During operation, the reduction engine can be dynamically armed based on a multicast frame. As a result, the network can facilitate an efficient and scalable environment for high performance computing.

Abstract: A switch architecture for a data-driven intelligent networking system is provided. The system can accommodate dynamic traffic with fast, effective congestion control. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow are acknowledged after reaching the egress point of the network, and the acknowledgement packets are sent back to the ingress point of the flow along the same data path. As a result, each switch can obtain state information of each flow and perform flow control on a per-flow basis.