Samsung electronics co., ltd. (20240162916). RUNTIME RECONFIGURABLE COMPRESSION FORMAT CONVERSION simplified abstract

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RUNTIME RECONFIGURABLE COMPRESSION FORMAT CONVERSION

Organization Name

samsung electronics co., ltd.

Inventor(s)

Jong Hoon Shin of San Jose CA (US)

Ardavan Pedram of Santa Clara CA (US)

Joseph Hassoun of Los Gatos CA (US)

RUNTIME RECONFIGURABLE COMPRESSION FORMAT CONVERSION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240162916 titled 'RUNTIME RECONFIGURABLE COMPRESSION FORMAT CONVERSION

Simplified Explanation

The abstract describes a patent application for a runtime data-format optimizer for a processing element, which includes a sparsity-detector and a compression-converter. The sparsity-detector selects a compression-conversion format based on sparsity patterns of data stored in different memories, while the compression-converter converts the data from one compression format to another.

  • Sparsity-detector selects compression-conversion format based on sparsity patterns of data in different memories.
  • Compression-converter converts data from one compression format to another based on the selected compression-conversion format.

Potential Applications

This technology could be applied in various fields such as data processing, image and video compression, and storage optimization.

Problems Solved

This technology solves the problem of inefficient data storage and processing by dynamically optimizing data formats based on sparsity patterns.

Benefits

The benefits of this technology include improved performance, reduced storage requirements, and enhanced data processing efficiency.

Potential Commercial Applications

Potential commercial applications of this technology include data centers, cloud computing services, multimedia applications, and IoT devices.

Possible Prior Art

One possible prior art could be existing data compression and optimization techniques used in various industries.

Unanswered Questions

How does this technology compare to existing data optimization methods?

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

What are the specific performance improvements achieved with this technology?

The article does not specify the exact performance improvements achieved with this technology.


Original Abstract Submitted

a runtime data-format optimizer for a processing element includes a sparsity-detector and a compression-converter. the sparsity-detector selects a first compression-conversion format during a runtime of the processing element based on a performance model that is based on a first sparsity pattern of first data stored in a first memory that is exterior to the processing element and a second sparsity pattern of second data that is to be stored in a second memory within the processing element. the second sparsity pattern is based on a runtime configuration of the processing element. the first data is stored in the first memory using a first compression format and the second data is to be stored in the second memory using a second compression format. the compression-conversion circuit converts the first compression format of the first data to be the second compression format of the second data based on the first compression-conversion format.