Intel corporation (20240195605). TECHNOLOGIES FOR DYNAMIC ACCELERATOR SELECTION simplified abstract

TECHNOLOGIES FOR DYNAMIC ACCELERATOR SELECTION

Organization Name

intel corporation

Inventor(s)

Francesc Guim Bernat of Barcelona (ES)

TECHNOLOGIES FOR DYNAMIC ACCELERATOR SELECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240195605 titled 'TECHNOLOGIES FOR DYNAMIC ACCELERATOR SELECTION

Simplified Explanation: The patent application describes a technology for dynamic accelerator selection using a compute sled that can communicate with remote accelerators over a network. The compute sled includes a network interface controller with a local accelerator and a compute engine that can determine whether to accelerate a function and decide whether to offload it to a remote accelerator based on network telemetry data.

• The technology involves a compute sled with a network interface controller.
• The network interface controller includes a local accelerator and a compute engine.
• The compute engine obtains network telemetry data to assess network bandwidth saturation.
• It determines whether to accelerate a function and whether to offload it to a remote accelerator.
• If the function is not offloaded, it is assigned to the local accelerator of the network interface controller.

Potential Applications: This technology can be applied in cloud computing, data centers, and network optimization systems where dynamic selection of accelerators based on network conditions is crucial.

Problems Solved: 1. Efficient utilization of accelerators based on network conditions. 2. Dynamic selection of accelerators for optimal performance. 3. Offloading functions to remote accelerators for improved efficiency.

Benefits: 1. Enhanced performance by leveraging network telemetry data. 2. Improved resource utilization in distributed computing environments. 3. Reduced latency and improved response times for functions.

Commercial Applications: Dynamic Accelerator Selection technology can be utilized in cloud service providers, edge computing systems, and network optimization companies to enhance the efficiency and performance of their services.

Prior Art: Prior research in the field of dynamic accelerator selection and network telemetry data analysis can provide valuable insights into similar technologies and approaches.

Frequently Updated Research: Stay updated on advancements in network telemetry data analysis, distributed computing, and accelerator offloading techniques to enhance the capabilities of this technology.

Questions about Dynamic Accelerator Selection: 1. How does the compute engine determine whether to offload a function to a remote accelerator? 2. What are the key factors considered in the decision-making process of dynamic accelerator selection?

Original Abstract Submitted

technologies for dynamic accelerator selection include a compute sled. the compute sled includes a network interface controller to communicate with a remote accelerator of an accelerator sled over a network, where the network interface controller includes a local accelerator and a compute engine. the compute engine is to obtain network telemetry data indicative of a level of bandwidth saturation of the network. the compute engine is also to determine whether to accelerate a function managed by the compute sled. the compute engine is further to determine, in response to a determination to accelerate the function, whether to offload the function to the remote accelerator of the accelerator sled based on the telemetry data. also the compute engine is to assign, in response a determination not to offload the function to the remote accelerator, the function to the local accelerator of the network interface controller.