18339797. SINGLE INSTRUCTION MULTIPLE DATA (SIMD) SPARSE DECOMPRESSION WITH VARIABLE DENSITY simplified abstract (QUALCOMM Incorporated)
Contents
- 1 SINGLE INSTRUCTION MULTIPLE DATA (SIMD) SPARSE DECOMPRESSION WITH VARIABLE DENSITY
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SINGLE INSTRUCTION MULTIPLE DATA (SIMD) SPARSE DECOMPRESSION WITH VARIABLE DENSITY - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
SINGLE INSTRUCTION MULTIPLE DATA (SIMD) SPARSE DECOMPRESSION WITH VARIABLE DENSITY
Organization Name
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 18339797 titled 'SINGLE INSTRUCTION MULTIPLE DATA (SIMD) SPARSE DECOMPRESSION WITH VARIABLE DENSITY
Simplified Explanation
The abstract 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.
- Input medium with compressed data and metadata
- Output medium with decompressed data
- SIMD processors to decompress the data
Potential Applications
This technology could be applied in various fields such as data compression, data storage, and data processing.
Problems Solved
This technology solves the problem of efficiently decompressing data in a data processing system.
Benefits
The benefits of this technology include faster data processing, reduced storage space requirements, and improved data compression efficiency.
Potential Commercial Applications
One potential commercial application of this technology could be in cloud computing services for faster data processing and reduced storage costs.
Possible Prior Art
Prior art in data compression and decompression techniques may exist, but specific examples are not provided in the abstract.
Unanswered Questions
How does this technology compare to existing data compression methods?
Answer: This article does not provide a direct comparison to existing data compression methods, leaving the reader to wonder about the specific advantages of this technology over others.
What are the limitations of using SIMD processors for data decompression?
Answer: The abstract does not mention any potential limitations or challenges associated with using SIMD processors for data decompression, leaving room for further exploration of this aspect.
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.
