Qualcomm incorporated (20240118902). SINGLE INSTRUCTION MULTIPLE DATA (SIMD) SPARSE DECOMPRESSION WITH VARIABLE DENSITY simplified abstract

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SINGLE INSTRUCTION MULTIPLE DATA (SIMD) SPARSE DECOMPRESSION WITH VARIABLE DENSITY

Organization Name

qualcomm incorporated

Inventor(s)

Eric Wayne Mahurin of Austin TX (US)

Erich Plondke of Austin TX (US)

Hitesh Kumar Gupta of Sunnyvale CA (US)

Colin Beaton Verrilli of Apex NC (US)

Rexford Alan Hill of San Diego CA (US)

SINGLE INSTRUCTION MULTIPLE DATA (SIMD) SPARSE DECOMPRESSION WITH VARIABLE DENSITY - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240118902 titled 'SINGLE INSTRUCTION MULTIPLE DATA (SIMD) SPARSE DECOMPRESSION WITH VARIABLE DENSITY

Simplified Explanation

The patent application describes a data processing system that includes an input medium with compressed data and metadata, an output medium with decompressed data, and SIMD processors to decompress the data.

  • The system includes an input medium with compressed data and metadata.
  • The system has an output medium with decompressed data.
  • SIMD processors access and decompress the compressed data to generate decompressed data.

Potential Applications

This technology could be applied in:

  • Data compression and decompression systems
  • High-performance computing environments

Problems Solved

This technology solves:

  • Efficient data processing and storage
  • Accelerated data decompression

Benefits

The benefits of this technology include:

  • Faster data processing
  • Reduced storage requirements
  • Improved system performance

Potential Commercial Applications

A potential commercial application for this technology could be:

  • Integration into cloud computing services for faster data processing

Possible Prior Art

One possible prior art for this technology could be:

  • SIMD processors used in data processing systems

Unanswered Questions

How does this technology compare to existing data compression methods?

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

What are the limitations of using SIMD processors for data decompression?

This article does not discuss any limitations of using SIMD processors for data decompression.


Original Abstract Submitted

an aspect of the disclosure relates to a data processing system, including: an input medium configured to include a first set of blocks of data including a first set of block of compressed data and a first set of metadata, respectively; an output medium configured to include a first set of blocks of decompressed data each having a predetermined number of decompressed elements; and a set of single instruction multiple data (simd) processors configured to: access the first set of blocks of data from the input medium, respectively; decompress the first set of blocks of compressed data to generate the first set of blocks of decompressed data based on the first set of metadata, respectively; and provide the first set of blocks of decompressed data to the output medium, respectively.