Intel corporation (20240126546). SYSTEMS AND METHODS FOR EXECUTING A FUSED MULTIPLY-ADD INSTRUCTION FOR COMPLEX NUMBERS simplified abstract

SYSTEMS AND METHODS FOR EXECUTING A FUSED MULTIPLY-ADD INSTRUCTION FOR COMPLEX NUMBERS

Organization Name

intel corporation

Inventor(s)

Roman S. Dubtsov of Novosibirsk (RU)

Robert Valentine of Kiryat Tivon (IL)

Jesus Corbal of King City OR (US)

Milind Girkar of Sunnyvale CA (US)

Elmoustapha Ould-ahmed-vall of Gilbert AZ (US)

SYSTEMS AND METHODS FOR EXECUTING A FUSED MULTIPLY-ADD INSTRUCTION FOR COMPLEX NUMBERS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240126546 titled 'SYSTEMS AND METHODS FOR EXECUTING A FUSED MULTIPLY-ADD INSTRUCTION FOR COMPLEX NUMBERS

Simplified Explanation

The disclosed embodiments relate to executing a vector-complex fused multiply-add instruction. In one example, a method includes fetching an instruction with an opcode, source operand identifiers, and destination operand identifiers, decoding the instruction, retrieving data associated with the operands, and executing the instruction to generate a complex result and store it in the destination operand.

• Method involves executing a vector-complex fused multiply-add instruction.
• The instruction includes opcode, source operand identifiers, and destination operand identifiers.
• Data associated with operands is retrieved and used to generate a complex result.
• The result is stored in the corresponding position of the identified destination operand.

Potential Applications

The technology can be applied in:

• Signal processing
• Image processing
• Scientific computing

Problems Solved

This technology solves the problems of:

• Efficiently performing complex arithmetic operations on packed data
• Improving computational performance in vector processing

Benefits

The benefits of this technology include:

• Faster execution of complex arithmetic operations
• Enhanced performance in vector processing tasks

Potential Commercial Applications

The technology can be utilized in:

• High-performance computing systems
• Graphics processing units (GPUs)
• Artificial intelligence applications

Possible Prior Art

One possible prior art is the use of SIMD (Single Instruction, Multiple Data) instructions in vector processing to improve computational efficiency.

Unanswered Questions

How does this technology compare to traditional scalar arithmetic operations in terms of performance and efficiency?

This article does not provide a direct comparison between vector-complex fused multiply-add instructions and traditional scalar arithmetic operations.

Are there any limitations or constraints in implementing this technology in existing hardware architectures?

The article does not address any potential limitations or constraints in implementing this technology in current hardware setups.

Original Abstract Submitted

disclosed embodiments relate to executing a vector-complex fused multiply-add instruction. in one example, a method includes fetching an instruction, a format of the instruction including an opcode, a first source operand identifier, a second source operand identifier, and a destination operand identifier, wherein each of the identifiers identifies a location storing a packed data comprising at least one complex number, decoding the instruction, retrieving data associated with the first and second source operand identifiers, and executing the decoded instruction to, for each packed data element position of the identified first and second source operands, cross-multiply the real and imaginary components to generate four products: a product of real components, a product of imaginary components, and two mixed products, generate a complex result by using the four products according to the instruction, and store a result to the corresponding position of the identified destination operand.