Apple Inc. (Cupertino, CA)

A method and system to efficiently allocate resources to destinations to those who send request to them. In various forms the computing system comprises several sources for generating requests as well as several destinations that process the requests. One or more transaction tables stores requests that come from the multiple sources. Arbitration logic selects requests and saves them in the table of processing. If the logic picks a given request from the processing table, and determines resources for the destination that corresponds to it are unavailable, the logic removes the given request from the table and puts the request to a handling queue. If the retry processing queue has no data storage to store the request, logic changes a table entry in the transaction and maintains a count of such occurrences. The logic stops requests coming from this source if the number of instances exceeds a certain threshold. Priority is given to requests in the retry handling queue over those that are in the transaction tables.

Technical Field

The embodiments described herein pertain to the field of computing systems and, more particularly, to efficiently allocating resources for destinations to sources conveying requests to destinations.

Description of Related Art

Systems on Chips (SoCs) are becoming more complicated due to the ever-growing number of agents in a typical SoC and accessible endpoints. A multimedia engine or two and digital signal processing (DSPs), and processingunits are part of. Each agent includes at least one central processing unit (CPU) or a data parallel process like a graphics processor unit (GPU). Endpoints are input/output (I/O) peripheral devices such as memory devices and communication interfaces like radiocommunication interfaces (RCI), speakers, displays and other such devices. The data is shared between SoC agents as well as the endpoints.

An interconnect is a device which sends information from one source (e.g. an agent) to a different destination (e.g. an endpoint). In certain cases it is an information fabric, and the endpoint can be one of multiple available memory devices. There are queues within the interconnect to provide intermediate storage for commands, messages, and other data that is transiting between a source and destination. The management of the intermediate storage and the number outstanding transactions foreach of the multiple sources in the computing system gets more complicated with the increase in the number of sources that are aiming at a specific destination, such as memory devices. If the destination is jammed with other activities, the source will experience backpressure as the intermediate storage gets overflowing. This can result in the performance being slowed down.

In view of the above the above, effective mechanisms and methods to efficiently allocate resources of destinations to sources conveying requests to destinations are required.

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