18585619. HUB FOR MULTI-CHIP SENSOR SYSTEMS simplified abstract (TEXAS INSTRUMENTS INCORPORATED)

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HUB FOR MULTI-CHIP SENSOR SYSTEMS

Organization Name

TEXAS INSTRUMENTS INCORPORATED

Inventor(s)

Sriramakrishnan Govindarajan of Bangalore (IN)

Mihir Mody of Bangalore (IN)

HUB FOR MULTI-CHIP SENSOR SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18585619 titled 'HUB FOR MULTI-CHIP SENSOR SYSTEMS

The patent application describes a system with input interfaces for receiving different types of input data, output interfaces of different types, an interconnect, and a multichip hub with buffers, context memory blocks, and a data movement engine.

  • Input interfaces receive various types of input data.
  • Output interfaces are of different types.
  • The multichip hub includes buffers for different types of input data, context memory blocks, and a data movement engine with a context mapper.
  • The data movement engine determines the context of each input data item and sends it to the corresponding context memory block.
  • Multiple processing blocks within the multichip hub perform different processing operations.
  • The data movement engine uses context configuration data to decide which processing operations to apply to each input data item.

Potential Applications: - Data processing systems - Communication networks - Information technology infrastructure

Problems Solved: - Efficient handling of diverse input data types - Streamlining processing operations - Context-based data management

Benefits: - Enhanced data processing capabilities - Improved system performance - Flexibility in handling various data types

Commercial Applications: Title: "Advanced Data Processing System for Enhanced Performance" This technology can be utilized in industries such as telecommunications, data centers, and cloud computing to optimize data processing and improve overall system efficiency.

Prior Art: Researchers can explore existing patents related to data processing systems, context-based data management, and multichip hubs for further insights into this technology.

Frequently Updated Research: Stay updated on advancements in data processing systems, context mapping technologies, and network infrastructure to enhance the performance of similar systems.

Questions about the Technology: 1. How does the context memory block improve data processing efficiency? 2. What are the potential challenges in implementing this multichip hub system in real-world applications?


Original Abstract Submitted

Various systems and circuits are provided. One such system includes input interfaces to receive items of input data of different types; output interfaces, each of a different type; an interconnect coupled to the input interfaces and to the output interfaces; and an multichip hub that includes buffers respectively corresponding to the types of input data, context memory blocks, and a data movement engine with a context mapper to determine a context of each item of input data received and provide the item of input data to a corresponding context memory block. Multiple processing blocks within the multichip hub are each configured to perform a respective processing operation. The data movement engine receives context configuration data to determine, for each item of input data received, which of the multiple processing operations are to be applied to the item of input data.