18054834. FUSED MULTIPLY-ADD LOGIC TO PROCESS INPUT OPERANDS INCLUDING FLOATING-POINT VALUES AND INTEGER VALUES simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

FUSED MULTIPLY-ADD LOGIC TO PROCESS INPUT OPERANDS INCLUDING FLOATING-POINT VALUES AND INTEGER VALUES

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Ankur Agrawal of Chappaqua NY (US)

Kailash Gopalakrishnan of New York NY (US)

FUSED MULTIPLY-ADD LOGIC TO PROCESS INPUT OPERANDS INCLUDING FLOATING-POINT VALUES AND INTEGER VALUES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18054834 titled 'FUSED MULTIPLY-ADD LOGIC TO PROCESS INPUT OPERANDS INCLUDING FLOATING-POINT VALUES AND INTEGER VALUES

Simplified Explanation

The abstract describes a floating-point unit, system, and method for fused multiply-add logic to process input operands containing both floating-point and integer values, resulting in a floating-point result.

• The innovation involves receiving three input operands: one integer value and two floating-point values.
• The input operands are processed to generate a floating-point result using fused multiply-add logic.
• The technology allows for efficient processing of mixed data types, enhancing computational capabilities.

Potential Applications

This technology could be applied in:

• Scientific computing
• Financial modeling
• Image and signal processing

Problems Solved

This technology addresses:

• Efficient processing of mixed data types
• Improved computational accuracy
• Enhanced performance in numerical calculations

Benefits

The benefits of this technology include:

• Increased computational efficiency
• Enhanced accuracy in numerical computations
• Improved performance in processing mixed data types

Potential Commercial Applications

Potential commercial applications of this technology include:

• High-performance computing systems
• Embedded systems in various industries
• Cloud computing infrastructure

Possible Prior Art

One possible prior art for this technology could be:

• Previous floating-point units with fused multiply-add capabilities.

How does this technology compare to traditional floating-point units in terms of performance and accuracy?

This article does not provide a direct comparison between this technology and traditional floating-point units.

Are there any specific hardware or software requirements for implementing this fused multiply-add logic?

The article does not mention any specific hardware or software requirements for implementing this technology.

Original Abstract Submitted

Provided are a floating-point unit, a system, and method for fused multiply-add logic to process input operands including floating-point values and integer values. A first input operand comprising an integer value and second and third input operands comprising floating-point values are received. The first, second, and third input operands are processed to produce a floating-point result.