17934147. PROGRAMMABLE COMPUTE ENGINE HAVING TRANSPOSE OPERATIONS simplified abstract (Amazon Technologies, Inc.)
Contents
- 1 PROGRAMMABLE COMPUTE ENGINE HAVING TRANSPOSE OPERATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PROGRAMMABLE COMPUTE ENGINE HAVING TRANSPOSE 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
PROGRAMMABLE COMPUTE ENGINE HAVING TRANSPOSE OPERATIONS
Organization Name
Inventor(s)
Paul Gilbert Meyer of Nashville VT (US)
Sheng Xu of Santa Clara CA (US)
Ron Diamant of Santa Clara CA (US)
PROGRAMMABLE COMPUTE ENGINE HAVING TRANSPOSE OPERATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17934147 titled 'PROGRAMMABLE COMPUTE ENGINE HAVING TRANSPOSE OPERATIONS
Simplified Explanation
The technique described in the patent application involves executing transpose and compute operations by retrieving machine instructions from an instruction buffer of a data processor. Each entry in the instruction buffer stores a machine instruction, which is used to transpose a submatrix of an input tensor and perform computations on column elements of the submatrix. The machine instruction combines the transpose operation with computational operations into a single instruction.
- The patent application describes a technique for executing transpose and compute operations using machine instructions.
- The technique involves retrieving a set of machine instructions from an instruction buffer of a data processor.
- Each entry in the instruction buffer stores a machine instruction used to transpose a submatrix of an input tensor and perform computations on column elements.
- The machine instruction combines the transpose operation with computational operations into a single instruction.
Potential Applications
The technology described in the patent application could be applied in various fields such as:
- Signal processing
- Image processing
- Machine learning algorithms
Problems Solved
This technology helps in:
- Improving efficiency in executing transpose and compute operations
- Reducing the complexity of implementing these operations
- Enhancing the performance of data processors
Benefits
The benefits of this technology include:
- Faster execution of transpose and compute operations
- Simplified implementation of complex operations
- Enhanced performance and efficiency of data processors
Potential Commercial Applications
A potential commercial application of this technology could be in:
- High-performance computing systems
- Data centers
- Embedded systems
Possible Prior Art
One possible prior art related to this technology is the use of SIMD (Single Instruction, Multiple Data) instructions in data processing operations.
What are the specific machine instructions used in this technique?
The specific machine instructions used in this technique are not mentioned in the abstract. Further details about the machine instructions and their implementation would be needed to answer this question.
How does this technique compare to existing methods for executing transpose and compute operations?
The abstract does not provide a comparison with existing methods for executing transpose and compute operations. Additional information about the advantages of this technique over traditional methods would be required to address this question.
Original Abstract Submitted
A technique to execute transpose and compute operations may include retrieving a set of machine instructions from an instruction buffer of a data processor. The instruction buffer has multiple entries, and each entry stores one machine instruction. A machine instruction from the set of machine instructions is executed to transpose a submatrix of an input tensor and perform computations on column elements of the submatrix. The machine instruction combines the transpose operation with computational operations into a single machine instruction.
