18436652. LOOK-UP TABLE WRITE simplified abstract (TEXAS INSTRUMENTS INCORPORATED)
Contents
- 1 LOOK-UP TABLE WRITE
LOOK-UP TABLE WRITE
Organization Name
TEXAS INSTRUMENTS INCORPORATED
Inventor(s)
Naveen Bhoria of Plano TX (US)
Duc Bui of Grand Prairie TX (US)
Dheera Balasubramanian Samudrala of Richardson TX (US)
LOOK-UP TABLE WRITE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18436652 titled 'LOOK-UP TABLE WRITE
Simplified Explanation
The abstract describes a digital data processor that includes an instruction memory, an instruction decoder, and at least one operational unit. The processor is capable of performing data processing operations and storing results of these operations.
- The digital data processor has an instruction memory storing instructions for data processing operations.
- An instruction decoder retrieves instructions from the memory and determines the operation and data operands.
- At least one operational unit performs data processing operations on operands and stores the results.
- The operational unit can perform table writes in response to specific instructions.
Potential Applications
The technology described in this patent application could be applied in various fields such as:
- Embedded systems
- Signal processing
- Image processing
- Data analytics
Problems Solved
This technology helps in solving the following problems:
- Efficient data processing
- Improved performance in executing instructions
- Enhanced memory management
Benefits
The benefits of this technology include:
- Faster data processing
- Reduced latency in executing instructions
- Enhanced overall system performance
Potential Commercial Applications
The potential commercial applications of this technology could be in:
- Microprocessors
- Digital signal processors
- Application-specific integrated circuits (ASICs)
Possible Prior Art
One possible prior art for this technology could be:
- Previous digital data processors with similar instruction decoding and operational unit capabilities.
Unanswered Questions
How does this technology compare to existing data processors in terms of performance and efficiency?
This technology offers improved performance and efficiency compared to existing data processors by optimizing data processing operations and memory management.
What impact could this technology have on the development of future computing systems?
This technology could lead to the development of faster and more efficient computing systems, enabling advancements in various fields such as artificial intelligence, machine learning, and big data analytics.
Original Abstract Submitted
A digital data processor includes an instruction memory storing instructions each specifying a data processing operation and at least one data operand field, an instruction decoder coupled to the instruction memory for sequentially recalling instructions from the instruction memory and determining the data processing operation and the at least one data operand, and at least one operational unit coupled to a data register file and to the instruction decoder to perform a data processing operation upon at least one operand corresponding to an instruction decoded by the instruction decoder and storing results of the data processing operation. The at least one operational unit is configured to perform a table write in response to a look up table write instruction by writing at least one data element from a source data register to a specified location in a specified number of at least one table.
