View source for Google llc (20240111667). High Performance Memory Allocator simplified abstract

=High Performance Memory Allocator=


==Organization Name==

[[:Category:google llc|google llc]]


[[Category:google llc]]

==Inventor(s)==

[[:Category:Abhishek Agarwal of Santa Clara CA (US)|Abhishek Agarwal of Santa Clara CA (US)]][[Category:Abhishek Agarwal of Santa Clara CA (US)]]

[[:Category:Srinivas Vaduvatha of San Jose CA (US)|Srinivas Vaduvatha of San Jose CA (US)]][[Category:Srinivas Vaduvatha of San Jose CA (US)]]

[[:Category:Weiwei Jiang of Santa Clara CA (US)|Weiwei Jiang of Santa Clara CA (US)]][[Category:Weiwei Jiang of Santa Clara CA (US)]]

[[:Category:Hugh McEvoy Walsh of Los Gatos CA (US)|Hugh McEvoy Walsh of Los Gatos CA (US)]][[Category:Hugh McEvoy Walsh of Los Gatos CA (US)]]

[[:Category:Weihuang Wang of Los Gatos CA (US)|Weihuang Wang of Los Gatos CA (US)]][[Category:Weihuang Wang of Los Gatos CA (US)]]

[[:Category:Jiazhen Zheng of Santa Clara CA (US)|Jiazhen Zheng of Santa Clara CA (US)]][[Category:Jiazhen Zheng of Santa Clara CA (US)]]

[[:Category:Ajay Venkatesan of Milpitas CA (US)|Ajay Venkatesan of Milpitas CA (US)]][[Category:Ajay Venkatesan of Milpitas CA (US)]]

==High Performance Memory Allocator - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240111667 titled 'High Performance Memory Allocator

==Simplified Explanation==

The memory allocator in this patent application is designed to assign contiguous memory space for data packets in on-chip memory of a network interface card. It includes a plurality of sub-allocators that correspond to a structure of entries, where each entry represents a quanta of memory allocation. The sub-allocators are organized in decreasing size based on the amount of memory quanta they can allocate.

* The memory allocator assigns contiguous memory space for data packets in on-chip memory.
* It includes sub-allocators that correspond to a structure of entries representing memory allocation quanta.
* The sub-allocators are organized in decreasing size based on the amount of memory quanta they can allocate.

== Potential Applications ==
This technology can be applied in:
* Network interface cards
* Data centers
* High-performance computing systems

== Problems Solved ==
This technology helps solve:
* Efficient memory allocation for data packets
* Optimizing memory usage in network devices

== Benefits ==
The benefits of this technology include:
* Improved performance in data packet processing
* Reduced memory fragmentation
* Enhanced overall system efficiency

== Potential Commercial Applications ==
Potential commercial applications of this technology include:
* Networking hardware manufacturers
* Data center operators
* Cloud service providers

== Possible Prior Art ==
One possible prior art related to this technology is the use of memory allocators in operating systems to manage memory allocation efficiently.

=== What is the impact of this technology on network performance? ===
This technology can significantly improve network performance by optimizing memory allocation for data packets, reducing latency, and enhancing overall system efficiency.

=== How does this memory allocator compare to existing solutions in terms of memory utilization? ===
This memory allocator stands out by efficiently assigning contiguous memory space for data packets, reducing memory fragmentation, and improving memory utilization compared to traditional memory allocation methods.


==Original Abstract Submitted==

aspects of the disclosure are directed to a memory allocator for assigning contiguous memory space for data packets in on-chip memory of a network interface card. the memory allocator includes a plurality of sub-allocators that correspond to a structure of entries, where each entry represents a quanta of memory allocation. the sub-allocators are organized in decreasing size in the memory allocator based on the amount of memory quanta they can allocate.



[[Category:G06F12/02]]