18397664. SYSTEMS AND METHODS FOR PERFORMING 16-BIT FLOATING-POINT MATRIX DOT PRODUCT INSTRUCTIONS simplified abstract (Intel Corporation)

SYSTEMS AND METHODS FOR PERFORMING 16-BIT FLOATING-POINT MATRIX DOT PRODUCT INSTRUCTIONS

Organization Name

Intel Corporation

Inventor(s)

Alexander F. Heinecke of San Jose CA (US)

Robert Valentine of Kiryat Tivon (IL)

Mark J. Charney of Lexington MA (US)

Raanan Sade of Portland OR (US)

Menachem Adelman of Modi'in (IL)

Zeev Sperber of Zichron Yackov (IL)

Amit Gradstein of Binyamina (IL)

Simon Rubanovich of Haifa (IL)

SYSTEMS AND METHODS FOR PERFORMING 16-BIT FLOATING-POINT MATRIX DOT PRODUCT INSTRUCTIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18397664 titled 'SYSTEMS AND METHODS FOR PERFORMING 16-BIT FLOATING-POINT MATRIX DOT PRODUCT INSTRUCTIONS

Simplified Explanation

The abstract describes a patent application related to computing dot products of nibbles in tile operands. The processor decodes a tile dot product instruction with fields for an opcode, destination identifier, first source identifier, and second source identifier. It then executes the instruction to generate products by multiplying nibbles of doubleword elements in specified matrices and accumulating the results.

• Processor decodes tile dot product instruction with various identifiers and executes it to perform computations on specified matrices.
• Instruction is executed to generate products by multiplying nibbles of doubleword elements in first and second source matrices.
• Results are accumulated and saturated with previous contents of the doubleword element.

Potential Applications

This technology can be applied in:

• Image processing
• Signal processing
• Machine learning algorithms

Problems Solved

This technology helps in:

• Efficient computation of dot products
• Optimizing matrix operations
• Enhancing performance of processors

Benefits

The benefits of this technology include:

• Faster computation of dot products
• Improved efficiency in matrix operations
• Enhanced performance of processors

Potential Commercial Applications

A potential commercial application for this technology could be:

• High-performance computing systems for scientific research

Possible Prior Art

There is no prior art known at this time.

Unanswered Questions

How does this technology compare to existing methods of computing dot products?

This article does not provide a direct comparison to existing methods of computing dot products. Further research or a detailed analysis would be needed to answer this question.

What impact could this technology have on the semiconductor industry?

This article does not discuss the potential impact of this technology on the semiconductor industry. Further analysis of market trends and industry adoption would be necessary to answer this question.

Original Abstract Submitted

Disclosed embodiments relate to computing dot products of nibbles in tile operands. In one example, a processor includes decode circuitry to decode a tile dot product instruction having fields for an opcode, a destination identifier to identify a M by N destination matrix, a first source identifier to identify a M by K first source matrix, and a second source identifier to identify a K by N second source matrix, each of the matrices containing doubleword elements, and execution circuitry to execute the decoded instruction to perform a flow K times for each element (m, n) of the specified destination matrix to generate eight products by multiplying each nibble of a doubleword element (M,K) of the specified first source matrix by a corresponding nibble of a doubleword element (K,N) of the specified second source matrix, and to accumulate and saturate the eight products with previous contents of the doubleword element.