Nvidia corporation (20240095062). OFFLOADED TASK COMPUTATION ON NETWORK-ATTACHED CO-PROCESSORS simplified abstract
Contents
- 1 OFFLOADED TASK COMPUTATION ON NETWORK-ATTACHED CO-PROCESSORS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 OFFLOADED TASK COMPUTATION ON NETWORK-ATTACHED CO-PROCESSORS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
OFFLOADED TASK COMPUTATION ON NETWORK-ATTACHED CO-PROCESSORS
Organization Name
Inventor(s)
Sourav Chakraborty of Austin TX (US)
Tomislav Janjusic of Parker TX (US)
Mohammadreza Bayatpour of Campbell CA (US)
Joshua Samuel Ladd of Knoxville TN (US)
OFFLOADED TASK COMPUTATION ON NETWORK-ATTACHED CO-PROCESSORS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095062 titled 'OFFLOADED TASK COMPUTATION ON NETWORK-ATTACHED CO-PROCESSORS
Simplified Explanation
The abstract describes a patent application for systems, methods, and devices for performing computing operations. One example includes a device with a first processing unit and a second processing unit connected via a network interconnect. The first processing unit offloads computation and communication tasks to the second processing unit while performing application-level processing tasks. The second processing unit provides a result vector to the first processing unit upon task completion.
- Explanation:
- Device with two processing units connected via a network interconnect. - First processing unit offloads computation and communication tasks to the second processing unit. - Second processing unit provides a result vector to the first processing unit upon task completion.
Potential Applications
This technology could be applied in: - High-performance computing - Data processing and analysis - Distributed computing systems
Problems Solved
This technology helps in: - Improving overall system performance - Efficiently managing computation and communication tasks - Enhancing scalability of computing systems
Benefits
The benefits of this technology include: - Faster processing of tasks - Optimal resource utilization - Enhanced system reliability and stability
Potential Commercial Applications
The potential commercial applications of this technology could be in: - Cloud computing services - Data centers - Scientific research institutions
Possible Prior Art
One possible prior art could be the use of distributed computing systems in various industries to improve processing efficiency and scalability.
Unanswered Questions
How does this technology impact energy efficiency in computing systems?
This technology could potentially lead to energy savings by optimizing task allocation between processing units and reducing idle time.
What are the security implications of offloading computation tasks to a secondary processing unit?
The security implications of offloading tasks should be carefully considered to ensure data privacy and integrity are maintained throughout the process.
Original Abstract Submitted
systems, methods, and devices for performing computing operations are provided. in one example, a device is described to include a first processing unit and second processing unit in communication via a network interconnect. the first processing unit is configured to offload at least one of computation tasks and communication tasks to the second processing unit while the first processing unit performs the application-level processing tasks. the second processing unit is also configured to provide a result vector to the first processing unit when the at least one of computation tasks and communication tasks are completed.
