Meta platforms technologies, llc (20240094907). LOSSLESS COMPRESSION OF LARGE DATA SETS FOR SYSTEMS ON A CHIP simplified abstract

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 20240094907 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 in one of the subsystems, compresses the data using the encoder, and stores it in local memory.

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

Potential Applications

This technology could be applied in various fields such as:

• Data storage and management systems
• Embedded systems
• Internet of Things (IoT) devices

Problems Solved

This technology helps in:

• Efficient data compression and storage
• Optimizing memory usage in SoCs
• Enhancing overall system performance

Benefits

The benefits of this technology include:

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

Potential Commercial Applications

A potential commercial application of this technology could be in:

• Mobile devices
• Wearable technology
• Automotive electronics

Possible Prior Art

One possible prior art for this technology could be:

• Existing data compression algorithms used in computing systems

How does this technology compare to existing data compression methods?

This article does not provide a comparison with existing data compression methods.

What are the potential limitations of this technology in real-world applications?

This article does not address the potential limitations of this technology in real-world applications.

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.