View source for Intel corporation (20240111587). CIRCUITRY TO PERFORM PARTIAL DECOMPRESSION OPERATIONS simplified abstract

=CIRCUITRY TO PERFORM PARTIAL DECOMPRESSION OPERATIONS=


==Organization Name==

[[:Category:intel corporation|intel corporation]]


[[Category:intel corporation]]

==Inventor(s)==

[[:Category:Marian Horgan of Cork (IE)|Marian Horgan of Cork (IE)]][[Category:Marian Horgan of Cork (IE)]]

[[:Category:Mateusz Polrola of Lodz (PL)|Mateusz Polrola of Lodz (PL)]][[Category:Mateusz Polrola of Lodz (PL)]]

[[:Category:Fei Z. Wang of Shannon (IE)|Fei Z. Wang of Shannon (IE)]][[Category:Fei Z. Wang of Shannon (IE)]]

[[:Category:John J. Browne of Limerick (IE)|John J. Browne of Limerick (IE)]][[Category:John J. Browne of Limerick (IE)]]

[[:Category:Laurent Coquerel of Limerick (IE)|Laurent Coquerel of Limerick (IE)]][[Category:Laurent Coquerel of Limerick (IE)]]

==CIRCUITRY TO PERFORM PARTIAL DECOMPRESSION OPERATIONS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240111587 titled 'CIRCUITRY TO PERFORM PARTIAL DECOMPRESSION OPERATIONS

==Simplified Explanation==

The patent application abstract describes an accelerator with circuitry that can access compressed data, decompress it, and output the decompressed data based on calls to an application programming interface (API). The circuitry can output a subset or the entirety of the decompressed data depending on the values in the API calls.

* The accelerator includes an interface and circuitry coupled to the interface.
* The circuitry can access compressed data, decompress it, and output the decompressed data based on API calls.
* The circuitry can output a subset of the decompressed data based on certain values in the API calls.
* The circuitry can output the entirety of the decompressed data based on different values in the API calls.

== Potential Applications ==
This technology could be applied in data compression and decompression systems, high-speed data processing, and data transfer applications.

== Problems Solved ==
This technology solves the problem of efficiently decompressing data in real-time and providing flexibility in outputting subsets of decompressed data based on specific requirements.

== Benefits ==
The benefits of this technology include faster data processing, reduced storage requirements for compressed data, and improved overall system performance.

== Potential Commercial Applications ==
Potential commercial applications of this technology include data centers, cloud computing services, network infrastructure, and high-performance computing systems.

== Possible Prior Art ==
One possible prior art for this technology could be existing data compression and decompression algorithms used in various computing systems.

=== Unanswered Questions ===

== How does this technology compare to existing data compression accelerators in terms of speed and efficiency? ==
This article does not provide a direct comparison with existing data compression accelerators, so it is unclear how this technology stacks up against current solutions.

== What are the potential limitations or drawbacks of implementing this technology in practical applications? ==
The article does not address any potential limitations or drawbacks of implementing this technology, leaving room for further exploration into its practical implications and challenges.


==Original Abstract Submitted==

examples described herein relate to an accelerator that includes an interface and circuitry coupled to the interface. in some examples, the circuitry is configured to access compressed data, decompress the compressed data, and output the decompressed data based on a call to an application programming interface (api). in some examples, based on a first call to the api having first values, the circuitry is to decompress at least a subset of the data and output at least one strict subset of the decompressed data. in some examples, based on a second call to the api having second values, the circuitry is to decompress an entirety of the data and output the decompressed data.



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