17877458. CONTEXT AWARE ADAPTIVE PROTOCOL FOR MANAGING BEST KNOWN CONFIGURATION FIRMWARE simplified abstract (Dell Products L.P.)

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CONTEXT AWARE ADAPTIVE PROTOCOL FOR MANAGING BEST KNOWN CONFIGURATION FIRMWARE

Organization Name

Dell Products L.P.

Inventor(s)

Shekar Babu Suryanarayana of Bangalore (IN)

Vivek Viswanathan Iyer of St. Johns FL (US)

CONTEXT AWARE ADAPTIVE PROTOCOL FOR MANAGING BEST KNOWN CONFIGURATION FIRMWARE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17877458 titled 'CONTEXT AWARE ADAPTIVE PROTOCOL FOR MANAGING BEST KNOWN CONFIGURATION FIRMWARE

Simplified Explanation

The disclosed method is about optimizing firmware configurations for different computer chips. It involves learning chip-agnostic parameters from various firmware versions, tuning the firmware attributes based on this learning, and implementing specific offsets and a handoff block to update the firmware tables. The method also includes dynamically publishing changes in firmware policy and using a serialization protocol to synchronize firmware versions. It may employ cloud-based learning and allows for uninterrupted services by reloading memory map parameters. The uninterrupted services can include user presence detection and CPU power cap functions.

  • The method learns chip-agnostic parameters from multiple firmware versions.
  • It tunes firmware attributes based on the learning.
  • It implements specific offsets and a handoff block to update firmware tables.
  • It dynamically publishes changes in firmware policy.
  • It uses a serialization protocol to synchronize firmware versions.
  • It employs cloud-based learning for the serialization protocol.
  • It allows for uninterrupted services by reloading memory map parameters.
  • The uninterrupted services can include user presence detection and CPU power cap functions.

Potential applications of this technology:

  • Optimizing firmware configurations for different computer chips.
  • Improving performance and efficiency of computer systems.
  • Enhancing user experience by fine-tuning firmware attributes.

Problems solved by this technology:

  • Ensuring firmware configurations are optimized for specific computer chips.
  • Resolving gaps in firmware versions at end-user platforms.
  • Synchronizing firmware attributes across different versions.

Benefits of this technology:

  • Improved performance and efficiency of computer systems.
  • Better compatibility between firmware and computer chips.
  • Enhanced user experience with optimized firmware configurations.


Original Abstract Submitted

In one aspect, a disclosed method includes learning one or more chip agnostic parameters across a plurality of best known configuration (BKC) firmware versions, performing BKC attributes tuning based on said learning, implementing platform specific BKC table offsets and a handoff block to pass the table offsets to update routines by creating a trusted session for platform firmware table updates, and dynamically publishing changes in BKC policy. A BKC firmware serialization protocol may be implemented to ensure gaps in firmware versions at an end user platform are resolved by synchronizing each BKC version attribute. The serialization protocol may employ node-based cloud ecosystem learning. The method may further include reloading memory map parameters for uninterrupted services. The uninterrupted services may include, as examples, user presence detection after power resume and central processing unit (CPU) power cap functions.