Intel corporation (20240111825). SINGLE PRECISION SUPPORT FOR SYSTOLIC PIPELINE IN A GRAPHICS ENVIRONMENT simplified abstract
Contents
- 1 SINGLE PRECISION SUPPORT FOR SYSTOLIC PIPELINE IN A GRAPHICS ENVIRONMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SINGLE PRECISION SUPPORT FOR SYSTOLIC PIPELINE IN A GRAPHICS ENVIRONMENT - 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 How does this technology compare to existing solutions for single precision support in graphics environments?
- 1.11 What are the potential limitations or drawbacks of implementing this technology in practical applications?
- 1.12 Original Abstract Submitted
SINGLE PRECISION SUPPORT FOR SYSTOLIC PIPELINE IN A GRAPHICS ENVIRONMENT
Organization Name
Inventor(s)
Jiasheng Chen of El Dorado Hills CA (US)
Changwon Rhee of Rocklin CA (US)
Kevin Hurd of Flagler Beach FL (US)
Gregory Henry of Hillsboro OR (US)
Peter Caday of Hillsboro OR (US)
Kristopher Wong of San Diego CA (US)
SINGLE PRECISION SUPPORT FOR SYSTOLIC PIPELINE IN A GRAPHICS ENVIRONMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240111825 titled 'SINGLE PRECISION SUPPORT FOR SYSTOLIC PIPELINE IN A GRAPHICS ENVIRONMENT
Simplified Explanation
The apparatus disclosed in the patent application is designed to facilitate single precision support for systolic pipeline in a graphics environment. The processor includes systolic array hardware with data processing units that receive data in a first precision format for matrix multiplication. The original data is converted into two split values with a lower precision format, and the matrix multiplication operation is performed using these split values. The operation includes a split-term operation that utilizes two passes through the systolic array hardware with feedback wiring and local reduction, resulting in an emulated result in the first precision format.
- Processor with systolic array hardware
- Data processing units
- Matrix multiplication operation
- Conversion of data into split values
- Lower precision format
- Split-term operation
- Feedback wiring
- Local reduction
- Emulated result in first precision format
Potential Applications
This technology can be applied in graphics processing units (GPUs), artificial intelligence, machine learning, and scientific computing.
Problems Solved
This innovation addresses the challenge of performing matrix multiplication operations efficiently in a graphics environment with single precision support.
Benefits
The benefits of this technology include improved performance, reduced computational complexity, and enhanced accuracy in matrix multiplication operations.
Potential Commercial Applications
Potential commercial applications of this technology include graphics processing units (GPUs), data centers, supercomputers, and high-performance computing systems.
Possible Prior Art
One possible prior art for this technology could be the use of systolic arrays in high-performance computing systems for matrix multiplication operations.
Unanswered Questions
How does this technology compare to existing solutions for single precision support in graphics environments?
This article does not provide a direct comparison to existing solutions, leaving the reader to wonder about the specific advantages and disadvantages of this new apparatus.
What are the potential limitations or drawbacks of implementing this technology in practical applications?
The article does not address any potential limitations or drawbacks of implementing this technology, leaving the reader to speculate on possible challenges that may arise in real-world scenarios.
Original Abstract Submitted
an apparatus to facilitate single precision support for systolic pipeline in a graphics environment is disclosed. the apparatus includes a processor comprising systolic array hardware including a plurality of data processing units, wherein the systolic array hardware is to: receive data for performance of a matrix multiplication operation in a first precision format; convert an original value of the data into two split values with a second precision format having a lower precision than the first precision format; perform the matrix multiplication operation using the two split values in the second precision format, the matrix multiplication operation comprising a split-term operation that utilizes two passes through the systolic array hardware with feedback wiring and local reduction; and generate an emulated result for the matrix multiplication operation in the first precision format.
