17934835. LOSSLESS COMPRESSION OF LARGE DATA SETS FOR SYSTEMS ON A CHIP simplified abstract (Meta Platforms Technologies, LLC)

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LOSSLESS COMPRESSION OF LARGE DATA SETS FOR SYSTEMS ON A CHIP

Organization Name

Meta Platforms Technologies, LLC

Inventor(s)

Sridhar Gurumurthy Isukapalli Sharma of Palo Alto CA (US)

Richard Lawrence Greene of Redmond WA (US)

LOSSLESS COMPRESSION OF LARGE DATA SETS FOR SYSTEMS ON A CHIP - A simplified explanation of the abstract

This abstract first appeared for US patent application 17934835 titled 'LOSSLESS COMPRESSION OF LARGE DATA SETS FOR SYSTEMS ON A CHIP

Simplified Explanation

The abstract of the patent application describes a system on a chip (SoC) that includes a compression block with a decoder and an encoder. This compression block receives spill data from a compute element, compresses it using the encoder, and stores the compressed data in local memory.

  • The SoC includes a first subsystem, a second subsystem, and a compression block.
  • The compression block has a decoder and an encoder.
  • The compression block receives spill data from a compute element in one of the subsystems.
  • The spill data is compressed by the encoder.
  • The compressed data is stored in local memory of the compute element.

Potential Applications

This technology could be applied in:

  • Data storage systems
  • Embedded systems
  • IoT devices

Problems Solved

This technology helps in:

  • Efficient data compression
  • Local storage optimization
  • Data transfer speed improvement

Benefits

The benefits of this technology include:

  • Reduced memory usage
  • Faster data processing
  • Improved system performance

Potential Commercial Applications

The potential commercial applications of this technology could be in:

  • Mobile devices
  • Networking equipment
  • Consumer electronics

Possible Prior Art

One possible prior art for this technology could be:

  • Data compression algorithms used in similar systems

Unanswered Questions

How does the compression block handle different types of data formats?

The patent abstract does not specify how the compression block deals with various data formats and structures. Further details on this aspect would be helpful.

What is the impact of the compression process on overall system latency?

The abstract does not mention the potential impact of data compression on system latency. Understanding this aspect is crucial for assessing the overall performance of the system.


Original Abstract Submitted

A system on a chip (SoC) includes a first subsystem, a second subsystem and a compression block connected to the first and second subsystems, wherein the compression block includes a decoder and an encoder. The compression block receives spill data generated by a compute element in one of the first and second subsystems, compresses the spill data using the encoder and stores the compressed spill data in a data block in local memory of one of the compute elements.