18243264. MATRIX MULTIPLICATION UNIT WITH FLEXIBLE PRECISION OPERATIONS simplified abstract (ADVANCED MICRO DEVICES, INC.)
Contents
- 1 MATRIX MULTIPLICATION UNIT WITH FLEXIBLE PRECISION OPERATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MATRIX MULTIPLICATION UNIT WITH FLEXIBLE PRECISION OPERATIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
MATRIX MULTIPLICATION UNIT WITH FLEXIBLE PRECISION OPERATIONS
Organization Name
Inventor(s)
Michael Mantor of Orlando FL (US)
Jiasheng Chen of Orlando FL (US)
MATRIX MULTIPLICATION UNIT WITH FLEXIBLE PRECISION OPERATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18243264 titled 'MATRIX MULTIPLICATION UNIT WITH FLEXIBLE PRECISION OPERATIONS
Simplified Explanation
The patent application describes a processing unit, such as a GPU, that includes vector signal processors with multiply/accumulate elements for matrix multiplication and accumulation. The unit fetches portions of matrices into registers, performs matrix operations on subsets of the matrices in iterations, and writes the results into an output buffer.
- Vector signal processors (VSPs) with multiply/accumulate elements
- Fetching matrix portions into registers
- Matrix multiplication and accumulation on subsets of matrices
- Writing results into an output buffer
Potential Applications
This technology could be applied in:
- High-performance computing
- Image and video processing
- Machine learning and artificial intelligence
Problems Solved
This technology solves:
- Accelerating matrix operations
- Improving processing efficiency
- Enhancing performance of GPUs
Benefits
The benefits of this technology include:
- Faster matrix multiplication
- Increased computational speed
- Enhanced graphics rendering capabilities
Potential Commercial Applications
A potential commercial application for this technology could be in:
- Data centers
- Gaming consoles
- Supercomputers
Possible Prior Art
One possible prior art for this technology could be:
- Previous patents related to GPU architecture and matrix operations
Unanswered Questions
How does this technology compare to traditional CPU-based matrix operations?
This technology offers faster and more efficient matrix operations compared to traditional CPU-based methods, especially for parallel processing tasks.
What impact could this technology have on the field of artificial intelligence?
This technology could significantly accelerate AI algorithms by improving the speed and efficiency of matrix operations, leading to faster training and inference times.
Original Abstract Submitted
A processing unit such as a graphics processing unit (GPU) includes a plurality of vector signal processors (VSPs) that include multiply/accumulate elements. The processing unit also includes a plurality of registers associated with the plurality of VSPs. First portions of first and second matrices are fetched into the plurality of registers prior to a first round that includes a plurality of iterations. The multiply/accumulate elements perform matrix multiplication and accumulation on different combinations of subsets of the first portions of the first and second matrices in the plurality of iterations prior to fetching second portions of the first and second matrices into the plurality of registers for a second round. The accumulated results of multiplying the first portions of the first and second matrices are written into an output buffer in response to completing the plurality of iterations.
