Nvidia corporation (20240303076). GENERALIZED ACCELERATION OF MATRIX MULTIPLY ACCUMULATE OPERATIONS simplified abstract
Contents
GENERALIZED ACCELERATION OF MATRIX MULTIPLY ACCUMULATE OPERATIONS
Organization Name
Inventor(s)
Brent Ralph Boswell of Aloha OR (US)
Ming Y. Siu of Santa Clara CA (US)
Jack H. Choquette of Palo Alto CA (US)
Jonah M. Alben of San Jose CA (US)
Stuart Oberman of Sunnyvale CA (US)
GENERALIZED ACCELERATION OF MATRIX MULTIPLY ACCUMULATE OPERATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240303076 titled 'GENERALIZED ACCELERATION OF MATRIX MULTIPLY ACCUMULATE OPERATIONS
Simplified Explanation:
This patent application discloses a method, computer readable medium, and processor for performing matrix multiply and accumulate (MMA) operations. The processor executes the MMA operation to generate elements of a result matrix by calculating dot products of corresponding pairs of vectors associated with matrix operands specified in an instruction for the MMA operation.
Key Features and Innovation:
- Method, computer readable medium, and processor for performing matrix multiply and accumulate (MMA) operations.
- Processor includes a datapath configured to execute the MMA operation.
- Result matrix elements generated by calculating dot products of corresponding pairs of vectors.
- Dot product operation includes generating partial products, aligning them based on exponents, and accumulating them into a result queue using adders.
Potential Applications: This technology can be applied in various fields such as artificial intelligence, machine learning, scientific computing, and image processing.
Problems Solved: This technology addresses the need for efficient matrix multiplication and accumulation operations in high-performance computing systems.
Benefits:
- Improved performance in matrix operations.
- Enhanced efficiency in processing large datasets.
- Accelerated computations in complex algorithms.
Commercial Applications: Potential commercial applications include data centers, supercomputing facilities, cloud computing services, and research institutions.
Prior Art: Readers can explore prior art related to matrix multiplication algorithms, parallel computing techniques, and hardware accelerators for matrix operations.
Frequently Updated Research: Stay updated on advancements in parallel processing, hardware acceleration, and optimization techniques for matrix operations.
Questions about Matrix Multiply and Accumulate (MMA) Technology: 1. What are the key advantages of using MMA operations in high-performance computing? 2. How does this technology improve the efficiency of matrix multiplication algorithms?
Original Abstract Submitted
a method, computer readable medium, and processor are disclosed for performing matrix multiply and accumulate (mma) operations. the processor includes a datapath configured to execute the mma operation to generate a plurality of elements of a result matrix at an output of the datapath. each element of the result matrix is generated by calculating at least one dot product of corresponding pairs of vectors associated with matrix operands specified in an instruction for the mma operation. a dot product operation includes the steps of: generating a plurality of partial products by multiplying each element of a first vector with a corresponding element of a second vector; aligning the plurality of partial products based on the exponents associated with each element of the first vector and each element of the second vector; and accumulating the plurality of aligned partial products into a result queue utilizing at least one adder.
