View source for 17568714. SYSTEMS AND METHODS FOR NEAR-STORAGE PROCESSING IN SOLID STATE DRIVES simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

=SYSTEMS AND METHODS FOR NEAR-STORAGE PROCESSING IN SOLID STATE DRIVES=


==Organization Name==

[[:Category:SAMSUNG ELECTRONICS CO., LTD.|SAMSUNG ELECTRONICS CO., LTD.]]


[[Category:SAMSUNG ELECTRONICS CO., LTD.]]

==Inventor(s)==

[[:Category:Mohammadreza Soltaniyeh of San Jose CA (US)|Mohammadreza Soltaniyeh of San Jose CA (US)]][[Category:Mohammadreza Soltaniyeh of San Jose CA (US)]]

[[:Category:Veronica Lagrange Moutinho Dos Reis of San Jose CA (US)|Veronica Lagrange Moutinho Dos Reis of San Jose CA (US)]][[Category:Veronica Lagrange Moutinho Dos Reis of San Jose CA (US)]]

[[:Category:Matthew Bryson of San Jose CA (US)|Matthew Bryson of San Jose CA (US)]][[Category:Matthew Bryson of San Jose CA (US)]]

[[:Category:Xuebin Yao of San Jose CA (US)|Xuebin Yao of San Jose CA (US)]][[Category:Xuebin Yao of San Jose CA (US)]]

==SYSTEMS AND METHODS FOR NEAR-STORAGE PROCESSING IN SOLID STATE DRIVES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17568714 titled 'SYSTEMS AND METHODS FOR NEAR-STORAGE PROCESSING IN SOLID STATE DRIVES

==Simplified Explanation==

The patent application describes a method for offloading computational tasks to storage systems. Here is a simplified explanation of the abstract:

* A first processing element sends a request to a storage device.
* The storage device retrieves data from its storage and provides it to the first memory for storage.
* A second processing element reads the data from the first memory and performs an operation or computation on it to generate new data.
* The second processing element then sends the new data back to the first processing element.

Potential applications of this technology:

* Cloud computing: Offloading computational tasks to storage systems can improve the efficiency and scalability of cloud computing platforms.
* Big data analytics: By offloading computations to storage systems, the processing time for analyzing large datasets can be reduced.
* Edge computing: Offloading computations to storage devices at the edge of the network can help in processing data closer to the source, reducing latency.

Problems solved by this technology:

* Improved performance: Offloading computations to storage systems can reduce the load on processing elements, leading to faster processing times.
* Scalability: By distributing computations across multiple processing elements and storage devices, the system can handle larger workloads.
* Resource optimization: Offloading computations to storage systems can help in utilizing available resources more efficiently.

Benefits of this technology:

* Faster processing: By offloading computations, the overall processing time can be reduced, leading to faster results.
* Improved scalability: The system can handle larger workloads by distributing computations across multiple processing elements and storage devices.
* Resource efficiency: Offloading computations to storage systems can help in utilizing available resources more effectively, leading to better resource management.


==Original Abstract Submitted==

Provided are systems, methods, and apparatuses for computational offload to storage systems. The method can include a first processing element issuing a first request to the storage device; a storage device, responsive to the first request, obtaining first data on the storage device and providing the first data to the first memory for storage; the second processing element reading the first data from the first memory and performing at least one of an operation or a computation on the first data to generate second data; and the second processing element providing the second data to the first processing element.



[[Category:G06F3/06]]