Seagate Technology Incorporated

Lsi Corporation

Intel Corporation

Allen Vestal

Shashank Nemawarkar

Balakrishnan Sundararaman

David Sonnier

Charles Edward Peet

Chris Randall Stone

Siddharth Krishna Kumar

Shailendra Aulakh

Systems and methods are disclosed to perform a function level reset in a memory controller, in accordance with certain embodiments of the present disclosure. In some embodiments, an apparatus may comprise a storage controller circuit configured to receive a function reset indicator from a host device, the function reset indicator identifying a selected storage controller function executing at a storage controller of the apparatus. The circuit may abort each command associated with the selected function and pending at the apparatus based on the function reset indicator, verify that no commands associated with the selected function remain pending at the apparatus, and clear registers associated with the selected function based on the determination that no commands associated with the selected function remain.

Method and apparatus to perform a function level reset in a memory controller

Described embodiments provide for dynamically controlling a scheduling rate of each node in a scheduling hierarchy of a network processor. A traffic manager generates a tree scheduling hierarchy having a root scheduler and N scheduler levels. The network processor generates tasks corresponding to received packets. A traffic manager enqueues received tasks in a queue of the scheduling hierarchy associated with a data flow. The queue has a parent scheduler at each level of the hierarchy up to the root scheduler. The traffic manager maintains one or more scheduling data structures for each node in the scheduling hierarchy. If the traffic manager receives a rate reduction request corresponding to a given node of the scheduling hierarchy, the traffic manager updates one or more indicators in the scheduling data structure corresponding to the given node and removes the given node from the scheduling hierarchy, thereby reducing the scheduling rate of the node.

Dynamic updating of scheduling hierarchy in a traffic manager of a network processor

Described embodiments provide for queuing tasks in a scheduling hierarchy of a network processor. A traffic manager generates a tree scheduling hierarchy having a root scheduler and N scheduler levels. The network processor generates tasks corresponding to received packets. The traffic manager performs a task enqueue operation for the task. The task enqueue operation includes adding the received task to an associated queue of the scheduling hierarchy, where the queue is associated with a data flow of the received task. The queue has a corresponding scheduler level M, where M is a positive integer less than or equal to N. Starting at the queue and iteratively repeating at each scheduling level until reaching the root scheduler, each node in the scheduling hierarchy maintains an actual count of tasks corresponding to the node. Each node communicates a capped task count to a corresponding parent scheduler at a relative next scheduler level.

Local messaging in a scheduling hierarchy in a traffic manager of a network processor

Described embodiments provide for restructuring a scheduling hierarchy of a network processor having a plurality of processing modules and a shared memory. The scheduling hierarchy schedules packets for transmission. The network processor generates tasks corresponding to each received packet associated with a data flow. A traffic manager receives tasks provided by one of the processing modules and determines a queue of the scheduling hierarchy corresponding to the task. The queue has a parent scheduler at each of one or more next levels of the scheduling hierarchy up to a root scheduler, forming a branch of the hierarchy. The traffic manager determines if the queue and one or more of the parent schedulers of the branch should be restructured. If so, the traffic manager drops subsequently received tasks for the branch, drains all tasks of the branch, and removes the corresponding nodes of the branch from the scheduling hierarchy.

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Cedar Park, TX, United States of America

Allen Vestal