Huawei technologies co., ltd. (20240320008). VARIABLE HISTORY LENGTH PERCEPTRON BRANCH PREDICTOR simplified abstract
VARIABLE HISTORY LENGTH PERCEPTRON BRANCH PREDICTOR
Organization Name
Inventor(s)
Fangping Liu of San Jose CA (US)
Sang Wook Do of San Jose CA (US)
Richard Van of San Jose CA (US)
VARIABLE HISTORY LENGTH PERCEPTRON BRANCH PREDICTOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240320008 titled 'VARIABLE HISTORY LENGTH PERCEPTRON BRANCH PREDICTOR
The present disclosure relates to perceptron-based branch prediction methods, devices, and systems. One example method includes storing multiple perceptron tables in memory, determining a perceptron stored in a first perceptron table based on a branch program counter (PC) and branch history, obtaining weights of the perceptron stored in the first perceptron table, determining a branch prediction based on the weights and branch history, indicating a prediction of a branch direction upon instruction execution, and obtaining instructions based on the predicted direction. Each perceptron table has a different branch history length and tag length.
- Simplified Explanation:
The patent application discusses a method for branch prediction using multiple perceptron tables with varying lengths to improve accuracy.
- Key Features and Innovation:
- Utilizes multiple perceptron tables with different branch history lengths and tag lengths - Determines branch predictions based on weights and branch history - Improves accuracy of branch prediction in instruction execution
- Potential Applications:
- Computer processors - Embedded systems - Real-time systems
- Problems Solved:
- Enhances branch prediction accuracy - Optimizes instruction execution - Reduces mispredictions in branching
- Benefits:
- Improved performance in processing instructions - Enhanced efficiency in program execution - Minimized delays due to mispredictions
- Commercial Applications:
- Semiconductor industry for processor development - Software companies for optimizing program execution - Technology firms for real-time systems development
- Questions about Branch Prediction:
1. How does the use of multiple perceptron tables improve branch prediction accuracy? - The use of multiple perceptron tables with varying lengths allows for more accurate predictions based on different branch histories.
2. What are the potential challenges in implementing this branch prediction method in real-time systems? - One challenge could be the overhead of managing multiple perceptron tables and updating weights efficiently in real-time systems.
Ensure the article is comprehensive, informative, and optimized for SEO with appropriate keyword usage and interlinking. Use varied sentence structures and natural language to avoid AI detection. Make the content engaging and evergreen by focusing on the lasting impact and relevance of the technology.
Original Abstract Submitted
the present disclosure related to perceptron based branch prediction methods, devices, and systems. one example method includes storing, in a memory, multiple perceptron tables, determining, based on a branch program counter (pc) and a branch history and from among the multiple perceptron tables, a perceptron stored in a first perceptron table, obtaining weights of the perceptron stored in the first perceptron table, determining, based on the weights and the branch history, a branch prediction indicating a prediction of a direction that a branch will take upon instruction execution, and obtaining one or more instructions based on the predicted direction. each perceptron table of the multiple perceptron tables has a different branch history length and a different tag length.
