Abstract: Systems and methods are provided for efficiently routing data through a network having a plurality of switches configured in a fat-tree topology, including: receiving a data transmission comprising a plurality of packets at an edge port of the network, and routing the data transmission through the network with routing decisions based upon a routing table, wherein the routing table includes entries to effect routing decisions based upon a destination based hash function.

Abstract: A network interface controller (NIC) capable of facilitating efficient memory address translation is provided. The NIC can be equipped with a host interface, a cache, and an address translation unit (ATU). During operation, the ATU can determine an operating mode. The operating mode can indicate whether the ATU is to perform a memory address translation at the NIC. The ATU can then determine whether a memory address indicated in the memory access request is available in the cache. If the memory address is not available in the cache, the ATU can perform an operation on the memory address based on the operating mode.

Abstract: A network interface controller (NIC) capable of facilitating fine-grain flow control (FGFC) is provided. The NIC can be equipped with a network interface, an FGFC logic block, and a traffic management logic block. During operation, the network interface can determine that a control frame from a switch is associated with FGFC. The network interface can then identify a data flow indicated in the control frame for applying the FGFC. The FGFC logic block can insert information from the control frame into an entry of a data structure stored in the NIC. The traffic management logic block can identify the entry in the data structure based on one or more fields of a packet belonging to the flow. Subsequently, the traffic management logic block can determine whether the packet is allowed to be forwarded based on the information in the entry.

Abstract: A data-driven intelligent networking system that can facilitate global fairness is provided. 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 enforce global fairness 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 network interface controller (NIC) capable of facilitating efficient memory address translation is provided. The NIC can be equipped with a host interface, a cache, and an address translation unit (ATU). During operation, the ATU can determine an operating mode. The operating mode can indicate whether the ATU is to perform a memory address translation at the NIC. The ATU can then determine whether a memory address indicated in the memory access request is available in the cache. If the memory address is not available in the cache, the ATU can perform an operation on the memory address based on the operating mode.

Abstract: A network interface controller (NIC) capable of facilitating fine-grain flow control (FGFC) is provided. The NIC can be equipped with a network interface, an FGFC logic block, and a traffic management logic block. During operation, the network interface can determine that a control frame from a switch is associated with FGFC. The network interface can then identify a data flow indicated in the control frame for applying the FGFC. The FGFC logic block can insert information from the control frame into an entry of a data structure stored in the NIC. The traffic management logic block can identify the entry in the data structure based on one or more fields of a packet belonging to the flow. Subsequently, the traffic management logic block can determine whether the packet is allowed to be forwarded based on the information in the entry.

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 network interface controller (NIC) capable of efficient packet injection into an output buffer is provided. The NIC can be equipped with an output buffer, a plurality of injectors, a prioritization logic block, and a selection logic block. The plurality of injectors can share the output buffer. The prioritization logic block can determine a priority associated with a respective injector based on a high watermark and a low watermark associated with the injector. The selection logic block can then determine, from the plurality of injectors, a subset of injectors associated with a buffer class and determine whether the subset of injectors includes a high-priority injector. Upon identifying a high-priority injector in the subset of injectors, the selection logic block can select the high-priority injector for injecting a packet in the output buffer.

Abstract: A network interface controller (NIC) capable of facilitating fine-grain flow control (FGFC) is provided. The NIC can be equipped with a network interface, an FGFC logic block, and a traffic management logic block. During operation, the network interface can determine that a control frame from a switch is associated with FGFC. The network interface can then identify a data flow indicated in the control frame for applying the FGFC. The FGFC logic block can insert information from the control frame into an entry of a data structure stored in the NIC. The traffic management logic block can identify the entry in the data structure based on one or more fields of a packet belonging to the flow. Subsequently, the traffic management logic block can determine whether the packet is allowed to be forwarded based on the information in the entry.

Abstract: Data-driven intelligent networking systems and methods are provided. The system can accommodate dynamic traffic with fast, effective endpoint congestion detection and 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 can be acknowledged after reaching the egress point of the network, and the acknowledgement packets can be 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 network interface controller (NIC) capable of facilitating efficient memory address translation is provided. The NIC can be equipped with a host interface, a cache, and an address translation unit (ATU). During operation, the ATU can determine an operating mode. The operating mode can indicate whether the ATU is to perform a memory address translation at the NIC. The ATU can then determine whether a memory address indicated in the memory access request is available in the cache. If the memory address is not available in the cache, the ATU can perform an operation on the memory address based on the operating mode.

Abstract: Data-driven intelligent networking systems and methods are provided. The system can accommodate dynamic traffic with fast, effective per-flow credit-based flow 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 can be acknowledged after reaching the egress point of the network, and the acknowledgement packets can be 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 data-driven intelligent networking system that can facilitate global fairness is provided. 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 enforce global fairness on a per-flow basis.

Abstract: Data-driven intelligent networking systems and methods are provided. The system can accommodate dynamic traffic with fast, effective flow control of individual applications and traffic flows in conjunction with an end host. 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 can be acknowledged after reaching the egress point of the network, and the acknowledgement packets can be sent back to the ingress point of the flow along the same data path. As a result, an ingress edge switch can perform fine grain flow control of individual sources of the flows residing on an end host.

Abstract: Systems and methods are provided for efficiently routing data through a network having a plurality of switches configured in a fat-tree topology, including: receiving a data transmission comprising a plurality of packets at an edge port of the network, and routing the data transmission through the network with routing decisions based upon a routing table, wherein the routing table includes entries to effect routing decisions based upon a destination based hash function.

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 network interface controller (NIC) capable of efficient packet injection into an output buffer is provided. The NIC can be equipped with an output buffer, a plurality of injectors, a prioritization logic block, and a selection logic block. The plurality of injectors can share the output buffer. The prioritization logic block can determine a priority associated with a respective injector based on a high watermark and a low watermark associated with the injector. The selection logic block can then determine, from the plurality of injectors, a subset of injectors associated with a buffer class and determine whether the subset of injectors includes a high-priority injector. Upon identifying a high-priority injector in the subset of injectors, the selection logic block can select the high-priority injector for injecting a packet in the output buffer.

Abstract: A multiprocessor computer system having a plurality of processing elements comprises one or more core-level hierarchical shared semaphore registers, wherein each core-level hierarchical shared semaphore register is coupled to a different processor core. Each hierarchical shared semaphore register is writable to each of a plurality of streams executing on the coupled processor core. One or more chip-level hierarchical shared semaphore registers are also coupled to plurality of processor cores, each chip-level hierarchical shared semaphore register writable to each of the plurality of processor cores.

Abstract: A method for performing diagnostics on a CPU logic simulator executes certain portions of the diagnostics on a real-machine, and other portions in the software simulator. Those portions that must be executed in the simulator are executed on the simulator, while those portions that need not be executed on the simulator are preferably executed on the real-machine. The method coordinates the execution of the diagnostic functions between the real- machine and the simulator to achieve improved speed of diagnostic execution.