Intel corporation (20240354057). PROCESSOR CIRCUITRY TO PERFORM A FUSED MULTIPLY-ADD simplified abstract
Contents
- 1 PROCESSOR CIRCUITRY TO PERFORM A FUSED MULTIPLY-ADD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PROCESSOR CIRCUITRY TO PERFORM A FUSED MULTIPLY-ADD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about FMA Operations with Denormal Numbers
- 1.13 Original Abstract Submitted
PROCESSOR CIRCUITRY TO PERFORM A FUSED MULTIPLY-ADD
Organization Name
Inventor(s)
Jongwook Sohn of Austin TX (US)
Eric Quintana of Austin TX (US)
Wing Shek Wong of Austin TX (US)
PROCESSOR CIRCUITRY TO PERFORM A FUSED MULTIPLY-ADD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240354057 titled 'PROCESSOR CIRCUITRY TO PERFORM A FUSED MULTIPLY-ADD
Simplified Explanation
The patent application discusses techniques and mechanisms for circuitry to support the performance of a fused multiply-add (FMA) operation with denormal numbers in a processor.
- The processor executes FMA instructions by aligning an addend significand based on exponent values of multiplicands.
- The alignment is done in parallel with operations by a multiplier circuit, which also subtracts a correction value to avoid delays.
- The processor shares circuitry between FMA and floating-point multiplication instructions.
Key Features and Innovation
- One-way alignment of addend significand based on exponent values of multiplicands.
- Parallel operations by multiplier circuit based on significand values of multiplicands.
- Subtraction of a correction value in the multiplier circuit to avoid execution delays.
- Shared circuitry between FMA and floating-point multiplication instructions.
Potential Applications
The technology can be applied in processors for various computing tasks requiring FMA operations with denormal numbers, such as scientific computing, financial modeling, and machine learning algorithms.
Problems Solved
- Efficient execution of FMA operations with denormal numbers.
- Reduction of execution delays in multiplier circuits.
- Optimization of circuitry for both FMA and floating-point multiplication instructions.
Benefits
- Improved performance in executing FMA operations.
- Enhanced accuracy in handling denormal numbers.
- Cost-effective utilization of shared circuitry in processors.
Commercial Applications
- High-performance computing systems
- Financial analysis software
- Artificial intelligence and machine learning applications
Prior Art
Readers can explore prior patents related to FMA operations, denormal numbers, and shared circuitry in processors to understand the evolution of this technology.
Frequently Updated Research
Stay updated on advancements in processor design, floating-point arithmetic, and optimization techniques for FMA operations with denormal numbers.
Questions about FMA Operations with Denormal Numbers
How do FMA operations with denormal numbers impact computational accuracy?
FMA operations with denormal numbers can improve accuracy by efficiently handling these special cases without sacrificing precision.
One challenge could be ensuring seamless coordination between the different operations to avoid conflicts and optimize resource utilization.
Original Abstract Submitted
techniques and mechanisms for circuitry to support the performance of a fused multiply-add (fma) operation with one or more denormal numbers. in some embodiments, a processor is operable to execute a fma instruction comprising or otherwise identifying two multiplicands, and an addend. such execution includes performing one-way alignment of an addend significand based on a difference between respective exponent values of the two multiplicands. the alignment is performed in parallel with operations by a multiplier circuit based on respective significand values of the two multiplicands. subtraction of a j-bit correction value is performed in the multiplier circuit to avoid mitigate execution delay. in another embodiment, first circuitry of a processor executes an fma instruction, wherein components of the first circuitry are shared with second circuitry of the processor, and wherein the second circuitry supports the execution of a floating-point multiplication instruction.
