18388461. TECHNOLOGIES FOR DYNAMICALLY MANAGING RESOURCES IN DISAGGREGATED ACCELERATORS simplified abstract (Intel Corporation)

TECHNOLOGIES FOR DYNAMICALLY MANAGING RESOURCES IN DISAGGREGATED ACCELERATORS

Organization Name

Intel Corporation

Inventor(s)

Francesc Guim Bernat of Barcelona (ES)

Susanne M. Balle of Hudson NH (US)

Rahul Khanna of Portland OR (US)

Sujoy Sen of Beaverton OR (US)

Karthik Kumar of Chandler AZ (US)

TECHNOLOGIES FOR DYNAMICALLY MANAGING RESOURCES IN DISAGGREGATED ACCELERATORS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18388461 titled 'TECHNOLOGIES FOR DYNAMICALLY MANAGING RESOURCES IN DISAGGREGATED ACCELERATORS

Simplified Explanation

The patent application describes technologies for dynamically managing resources in disaggregated accelerators, including an accelerator with multiple logic portions capable of executing different workloads. The accelerator also includes communication circuitry to receive workloads and a dynamic resource allocation logic unit to identify and adjust resource utilization thresholds for shared resources as workloads are executed.

• Accelerator with multiple logic portions for executing different workloads
• Communication circuitry for receiving workloads
• Dynamic resource allocation logic unit for identifying and adjusting resource utilization thresholds for shared resources

Potential Applications

This technology could be applied in data centers, cloud computing environments, and high-performance computing systems where efficient resource management is crucial.

Problems Solved

1. Efficient resource utilization in disaggregated accelerators 2. Dynamic allocation of resources based on workload requirements

Benefits

1. Improved performance and efficiency in executing diverse workloads 2. Flexibility in resource allocation based on workload demands 3. Enhanced scalability and adaptability in accelerator systems

Potential Commercial Applications

Optimizing resource allocation in AI accelerators for machine learning tasks

Possible Prior Art

One possible prior art could be the use of dynamic resource allocation techniques in traditional accelerators or processors to optimize performance based on workload characteristics.

How does this technology compare to traditional resource management techniques in accelerators?

This article does not provide a direct comparison between this technology and traditional resource management techniques in accelerators.

What are the potential challenges in implementing this dynamic resource allocation logic in practical systems?

The article does not address the potential challenges in implementing the dynamic resource allocation logic in practical systems.

Original Abstract Submitted

Technologies for dynamically managing resources in disaggregated accelerators include an accelerator. The accelerator includes acceleration circuitry with multiple logic portions, each capable of executing a different workload. Additionally, the accelerator includes communication circuitry to receive a workload to be executed by a logic portion of the accelerator and a dynamic resource allocation logic unit to identify a resource utilization threshold associated with one or more shared resources of the accelerator to be used by a logic portion in the execution of the workload, limit, as a function of the resource utilization threshold, the utilization of the one or more shared resources by the logic portion as the logic portion executes the workload, and subsequently adjust the resource utilization threshold as the workload is executed. Other embodiments are also described and claimed.