Qualcomm incorporated (20240179422). AUXILIARY ENGINE FOR HARDWARE VIRTUALIZATION simplified abstract
AUXILIARY ENGINE FOR HARDWARE VIRTUALIZATION
Organization Name
Inventor(s)
Abhijeet Dey of Bengaluru (IN)
Animesh Behera of Bengaluru (IN)
Joby Abraham of Bangalore (IN)
Amrit Anand Amresh of Bangalore (IN)
AUXILIARY ENGINE FOR HARDWARE VIRTUALIZATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240179422 titled 'AUXILIARY ENGINE FOR HARDWARE VIRTUALIZATION
Simplified Explanation
The abstract describes techniques for processing data using symmetrical processing engines and an auxiliary processing engine. The process involves receiving input data, processing it using the auxiliary processing engine, further processing the data in the symmetrical processing engine, and outputting the processed data.
- Symmetrical processing engines coupled to an auxiliary processing engine
- Input data received and processed by the auxiliary processing engine
- Output data transmitted to and received from the auxiliary processing engine
- Further processing of data in the symmetrical processing engine
- Processed data outputted after further processing
Potential Applications
This technology could be applied in various industries such as telecommunications, data processing, and computer networking.
Problems Solved
This technology helps in efficiently processing large amounts of data by utilizing multiple processing engines in parallel.
Benefits
The benefits of this technology include faster data processing, improved efficiency, and scalability for handling increasing data volumes.
Potential Commercial Applications
"Enhanced Data Processing Techniques for Efficient Data Handling"
Possible Prior Art
One possible prior art could be the use of parallel processing techniques in data centers to improve data processing speed and efficiency.
Unanswered Questions
How does this technology compare to existing data processing techniques in terms of performance and scalability?
This question can be answered by conducting comparative studies and performance evaluations of this technology against existing data processing techniques.
What are the potential limitations or challenges in implementing this technology in real-world applications?
This question can be addressed by identifying any technical constraints, compatibility issues, or resource requirements that may arise during the implementation of this technology.
Original Abstract Submitted
techniques are described herein for processing data. for instance, a process can include receiving input data by a symmetrical processing engine of two or more symmetrical processing engines coupled to an auxiliary processing engine. the process can further include receiving an indication to process the input data using a module of the auxiliary processing engine, transmitting output data to the auxiliary processing engine, receiving processed data from the auxiliary processing engine, further processing the processed data in one or more portions of a pipeline of modules of the symmetrical processing engine, and outputting the further processed data.
