Advanced micro devices, inc. (20240111574). Work Graph Scheduler Implementation simplified abstract

Work Graph Scheduler Implementation

Organization Name

advanced micro devices, inc.

Inventor(s)

Matthäus G. Chajdas of Munich (DE)

Michael J. Mantor of Orlando FL (US)

Rex Eldon Mccrary of Orlando FL (US)

Christopher J. Brennan of Boxborough MA (US)

Robert Martin of Boxborough MA (US)

Dominik Baumeister of Munich (DE)

Fabian Robert Sebastian Wildgrube of Munich (DE)

Work Graph Scheduler Implementation - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240111574 titled 'Work Graph Scheduler Implementation

Simplified Explanation

The abstract describes systems, apparatuses, and methods for implementing a hierarchical scheduler in a processor, such as a graphics processing unit, with multiple local schedulers and shared caches.

• A processor includes a global scheduler and multiple independent local schedulers, each coupled to a group of processors.
• The processor, which can be a graphics processing unit, has computation units as processors and a shared cache shared by the local schedulers.
• Each local scheduler has a local cache used by the scheduler and processors it is connected to.
• The global scheduler stores work items in the shared cache and signals a local scheduler to retrieve and schedule the work items for execution by the processors it is connected to.
• Each local scheduler operates independently of the others in scheduling work items for execution.

Potential Applications

This technology can be applied in various parallel computing systems, such as graphics processing units, to efficiently schedule and execute work items across multiple processors.

Problems Solved

1. Efficient scheduling of work items in parallel computing systems. 2. Optimizing resource utilization and workload distribution among processors.

Benefits

1. Improved performance and throughput in parallel processing tasks. 2. Enhanced scalability and flexibility in workload management. 3. Reduced latency and bottlenecks in task execution.

Potential Commercial Applications

Optimized scheduling techniques can benefit industries relying on parallel computing, such as gaming, scientific simulations, and artificial intelligence.

Possible Prior Art

One possible prior art could be the use of distributed schedulers in parallel computing systems to manage workload distribution among processors.

How does this technology compare to traditional single-threaded scheduling methods in terms of performance and efficiency?

This article does not directly compare the performance and efficiency of hierarchical scheduling with traditional single-threaded methods. Further research or benchmarking may be needed to address this question.

What are the potential challenges or limitations of implementing a hierarchical scheduler in real-world applications?

The article does not discuss the challenges or limitations of deploying hierarchical schedulers in practical settings. Additional studies or case studies may be required to explore this aspect.

Original Abstract Submitted

systems, apparatuses, and methods for implementing a hierarchical scheduler. in various implementations, a processor includes a global scheduler, and a plurality of independent local schedulers with each of the local schedulers coupled to a plurality of processors. in one implementation, the processor is a graphics processing unit and the processors are computation units. the processor further includes a shared cache that is shared by the plurality of local schedulers. each of the local schedulers also includes a local cache used by the local scheduler and processors coupled to the local scheduler. to schedule work items for execution, the global scheduler is configured to store one or more work items in the shared cache and convey an indication to a first local scheduler of the plurality of local schedulers which causes the first local scheduler to retrieve the one or more work items from the shared cache. subsequent to retrieving the work items, the local scheduler is configured to schedule the retrieved work items for execution by the coupled processors. each of the plurality of local schedulers is configured to schedule work items for execution independent of scheduling performed by other local schedulers.