View source for 18584537. KERNEL OPTIMIZATION AND DELAYED EXECUTION simplified abstract (Mellanox Technologies, Ltd.)

=KERNEL OPTIMIZATION AND DELAYED EXECUTION=


==Organization Name==

[[:Category:Mellanox Technologies, Ltd.|Mellanox Technologies, Ltd.]]


[[Category:Mellanox Technologies, Ltd.]]

==Inventor(s)==

[[:Category:Sayantan Sur of Morrisville NC (US)|Sayantan Sur of Morrisville NC (US)]][[Category:Sayantan Sur of Morrisville NC (US)]]

[[:Category:Stephen Anthony Bernard Jones of San Francisco CA (US)|Stephen Anthony Bernard Jones of San Francisco CA (US)]][[Category:Stephen Anthony Bernard Jones of San Francisco CA (US)]]

[[:Category:Shahaf Shuler of Kibbutz Lohamei Hagetaot (IL)|Shahaf Shuler of Kibbutz Lohamei Hagetaot (IL)]][[Category:Shahaf Shuler of Kibbutz Lohamei Hagetaot (IL)]]

==KERNEL OPTIMIZATION AND DELAYED EXECUTION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18584537 titled 'KERNEL OPTIMIZATION AND DELAYED EXECUTION

==Simplified Explanation==
A processor submits a kernel with dynamically configurable parameters to be executed later. Data is received, and the parameters are updated based on the data before the kernel is executed.

==Key Features and Innovation==
* Processor submits a kernel with dynamically configurable parameters.
* Data received after submission updates the parameters.
* Kernel is executed with updated parameters.

==Potential Applications==
This technology could be used in various fields such as:
* Data processing
* Machine learning
* Artificial intelligence

==Problems Solved==
This technology addresses the following problems:
* Efficient parameter updating in kernels
* Real-time data integration
* Enhanced performance in executing kernels

==Benefits==
The benefits of this technology include:
* Improved accuracy in data processing
* Faster response times
* Enhanced performance in executing kernels

==Commercial Applications==
* This technology could be utilized in industries such as data analytics, finance, and healthcare for efficient data processing and analysis.

==Prior Art==
Readers can explore prior art related to dynamically configurable parameters in kernels in the field of computer science and data processing.

==Frequently Updated Research==
Stay updated on the latest research in the field of dynamically configurable parameters in kernels for advancements in data processing and performance optimization.

==Questions about Dynamically Configurable Parameters in Kernels==
===How does this technology improve data processing efficiency?===
This technology allows for real-time parameter updates based on received data, leading to enhanced accuracy and performance in data processing.

===What industries can benefit from this technology?===
Industries such as data analytics, finance, and healthcare can benefit from the efficient data processing and analysis capabilities of this technology.


==Original Abstract Submitted==

A kernel comprising at least one dynamically configurable parameter is submitted by a processor. The kernel is to be executed at a later time. Data is received after the kernel has been submitted. The at least one dynamically configurable parameter of the kernel is updated based on the data. The kernel having the at least one updated dynamically configurable parameter is executed after the at least one dynamically configurable parameter has been updated.



[[Category:G06T1/20]]
[[Category:G06F9/54]]
[[Category:CPC_G06T1/20]]