18070180. APPLICATION PROGRAMMING INTERFACE TO TRANSFER INFORMATION BETWEEN ACCELERATOR MEMORY simplified abstract (NVIDIA Corporation)
Contents
- 1 APPLICATION PROGRAMMING INTERFACE TO TRANSFER INFORMATION BETWEEN ACCELERATOR MEMORY
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPLICATION PROGRAMMING INTERFACE TO TRANSFER INFORMATION BETWEEN ACCELERATOR MEMORY - 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
APPLICATION PROGRAMMING INTERFACE TO TRANSFER INFORMATION BETWEEN ACCELERATOR MEMORY
Organization Name
Inventor(s)
Karthik Raghavan Ravi of Bangalore (IN)
Ashutosh Jain of Bengaluru (IN)
Rahul Suresh of Bangalore (IN)
APPLICATION PROGRAMMING INTERFACE TO TRANSFER INFORMATION BETWEEN ACCELERATOR MEMORY - A simplified explanation of the abstract
This abstract first appeared for US patent application 18070180 titled 'APPLICATION PROGRAMMING INTERFACE TO TRANSFER INFORMATION BETWEEN ACCELERATOR MEMORY
Simplified Explanation
The abstract describes a patent application related to executing APIs for accelerators within a heterogeneous processor.
- Apparatuses, systems, and techniques are developed to execute APIs for accelerators within a heterogeneous processor.
- Processors perform instructions in response to APIs to transfer information between memory of multiple accelerators.
Potential Applications
This technology could be applied in:
- High-performance computing
- Artificial intelligence and machine learning
- Data analytics
Problems Solved
This technology addresses issues such as:
- Efficient data transfer between accelerators
- Optimizing performance of heterogeneous processors
Benefits
The benefits of this technology include:
- Improved overall system performance
- Enhanced utilization of accelerators
- Streamlined data processing
Potential Commercial Applications
The potential commercial applications of this technology include:
- Server infrastructure for data centers
- Edge computing devices
- Autonomous vehicles
Possible Prior Art
One possible prior art could be the use of APIs for accelerators in traditional computing systems.
Unanswered Questions
How does this technology impact energy efficiency in computing systems?
This article does not delve into the energy efficiency aspect of the technology. Energy consumption is a critical factor in modern computing systems, and understanding how this innovation affects it would be valuable.
What are the security implications of using APIs for accelerators within a heterogeneous processor?
The article does not touch upon the security implications of this technology. It would be essential to explore how the use of APIs for accelerators could impact the overall security posture of a system.
Original Abstract Submitted
Apparatuses, systems, and techniques to execute one or more application programming interfaces (APIs) to perform one or more operations for one or more accelerators within a heterogeneous processor. In at least one embodiment, one or more processors are to perform one or more instructions in response to one or more APIs to transfer information between memory of two or more accelerators.
