17949817. OFFLOADED TASK COMPUTATION ON NETWORK-ATTACHED CO-PROCESSORS simplified abstract (NVIDIA Corporation)
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 Unanswered Questions
- 1.11 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 17949817 titled 'OFFLOADED TASK COMPUTATION ON NETWORK-ATTACHED CO-PROCESSORS
Simplified Explanation
The abstract describes a system where a first processing unit offloads computation and communication tasks to a 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.
- The system includes 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.
- The 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 centers
- Cloud computing
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:
- Increased efficiency in processing tasks
- Enhanced system performance
- Scalability and flexibility in computing operations
Potential Commercial Applications
A potential commercial application for this technology could be:
- Developing advanced computing systems for large-scale data processing
Possible Prior Art
One possible prior art for this technology could be:
- Distributed computing systems with offloading capabilities
Unanswered Questions
How does this technology impact energy consumption in computing systems?
This article does not delve into the energy efficiency aspect of the system.
What are the potential security implications of offloading tasks between processing units?
The article does not address the security considerations related to task offloading in the system.
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.
