Intel corporation (20240126555). CONFIGURING AND DYNAMICALLY RECONFIGURING CHAINS OF ACCELERATORS simplified abstract
Contents
- 1 CONFIGURING AND DYNAMICALLY RECONFIGURING CHAINS OF ACCELERATORS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CONFIGURING AND DYNAMICALLY RECONFIGURING CHAINS OF ACCELERATORS - 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
CONFIGURING AND DYNAMICALLY RECONFIGURING CHAINS OF ACCELERATORS
Organization Name
Inventor(s)
Saurabh Gayen of Portland OR (US)
Christopher J. Hughes of Santa Clara CA (US)
Utkarsh Y. Kakaiya of Folsom CA (US)
Alexander F. Heinecke of San Jose CA (US)
CONFIGURING AND DYNAMICALLY RECONFIGURING CHAINS OF ACCELERATORS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240126555 titled 'CONFIGURING AND DYNAMICALLY RECONFIGURING CHAINS OF ACCELERATORS
Simplified Explanation
The abstract describes a method for configuring a chain of accelerators to perform a chained accelerator operation, where each accelerator processes data and generates intermediate data for the next accelerator in the chain.
- Receiving a request for a chained accelerator operation
- Configuring a first accelerator to access input data from system memory, process it, and generate first intermediate data
- Configuring a second accelerator to receive the first intermediate data, process it, and generate additional data
Potential Applications
This technology could be applied in various fields such as data processing, artificial intelligence, and high-performance computing.
Problems Solved
This technology solves the problem of efficiently processing large amounts of data by distributing the workload among multiple accelerators in a chain.
Benefits
The benefits of this technology include improved processing speed, reduced latency, and increased efficiency in handling complex operations.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of advanced data processing systems for industries such as finance, healthcare, and telecommunications.
Possible Prior Art
Prior art in this field may include existing methods for parallel processing and data acceleration using hardware accelerators.
Unanswered Questions
How does this technology compare to traditional single-accelerator systems in terms of performance and efficiency?
This article does not provide a direct comparison between this technology and traditional single-accelerator systems.
Are there any limitations or constraints in implementing a chain of accelerators for complex operations?
The article does not address any potential limitations or constraints that may arise in implementing a chain of accelerators for complex operations.
Original Abstract Submitted
a method of an aspect includes receiving a request for a chained accelerator operation, and configuring a chain of accelerators to perform the chained accelerator operation. this may include configuring a first accelerator to access an input data from a source memory location in system memory, process the input data, and generate first intermediate data. this may also include configuring a second accelerator to receive the first intermediate data, without the first intermediate data having been sent to the system memory, process the first intermediate data, and generate additional data. other apparatus, methods, systems, and machine-readable medium are disclosed.
