18394946. INTEGER SQUARE 1ULP HARDWARE MULTIPLIER simplified abstract (Intel Corporation)
Contents
- 1 INTEGER SQUARE 1ULP HARDWARE MULTIPLIER
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INTEGER SQUARE 1ULP HARDWARE MULTIPLIER - 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
- 1.9.1 Unanswered Questions
- 1.9.2 How does the truncated modified Booth squarer compare to traditional squaring algorithms in terms of efficiency and accuracy?
- 1.9.3 What specific design considerations were taken into account when implementing the truncated modified Booth squarer in different computing units?
- 1.10 Original Abstract Submitted
INTEGER SQUARE 1ULP HARDWARE MULTIPLIER
Organization Name
Inventor(s)
Theo Drane of El Dorado Hills CA (US)
INTEGER SQUARE 1ULP HARDWARE MULTIPLIER - A simplified explanation of the abstract
This abstract first appeared for US patent application 18394946 titled 'INTEGER SQUARE 1ULP HARDWARE MULTIPLIER
Simplified Explanation
The truncated modified Booth squarer described in the patent application is commutative and accurate to 1 unit in the last place. It can be a radix-4 Booth squarer or a radix-8 Booth squarer, and can be included within various units in a graphics processor or compute accelerator.
- Commutative and accurate to 1 unit in the last place
- Can be a radix-4 or radix-8 Booth squarer
- Can be included within integer, floating-point, or fixed-point units in a graphics processor or compute accelerator
Potential Applications
The technology can be applied in graphics processors, compute accelerators, matrix accelerator units, and tensor processors.
Problems Solved
The technology solves the problem of accurately squaring numbers in a commutative manner within various computing units.
Benefits
The benefits of this technology include accurate squaring, commutativity, and versatility in different types of computing units.
Potential Commercial Applications
The technology can be commercially applied in graphics processors, compute accelerators, and other specialized computing units for efficient and accurate mathematical operations.
Possible Prior Art
Prior art may include existing Booth squaring algorithms and techniques used in computing systems.
Unanswered Questions
How does the truncated modified Booth squarer compare to traditional squaring algorithms in terms of efficiency and accuracy?
The article does not provide a direct comparison between the truncated modified Booth squarer and traditional squaring algorithms in terms of efficiency and accuracy.
What specific design considerations were taken into account when implementing the truncated modified Booth squarer in different computing units?
The article does not delve into the specific design considerations that were taken into account when implementing the truncated modified Booth squarer in various computing units.
Original Abstract Submitted
Described herein is a truncated modified Booth squarer that is commutative and accurate to 1 unit in the last place. In various embodiments, the truncated Booth squarer is a radix-4 Booth squarer or a radix-8 Booth squarer. The truncated Booth squarer can be included within integer, floating-point, or fixed-point units within a graphics processor or compute accelerator, including matrix accelerator units or tensor processors.
