Intel corporation (20240111444). TECHNIQUES TO REDUCE POWER CONSUMPTION FOR A DISTRIBUTED COMPUTATIONAL MODEL MAPPED ONTO A MULTI-PROCESSING NODE SYSTEM simplified abstract
Contents
- 1 TECHNIQUES TO REDUCE POWER CONSUMPTION FOR A DISTRIBUTED COMPUTATIONAL MODEL MAPPED ONTO A MULTI-PROCESSING NODE SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TECHNIQUES TO REDUCE POWER CONSUMPTION FOR A DISTRIBUTED COMPUTATIONAL MODEL MAPPED ONTO A MULTI-PROCESSING NODE SYSTEM - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
TECHNIQUES TO REDUCE POWER CONSUMPTION FOR A DISTRIBUTED COMPUTATIONAL MODEL MAPPED ONTO A MULTI-PROCESSING NODE SYSTEM
Organization Name
Inventor(s)
Javier Martin Langerwerf of Toenisvorst (DE)
Gerard Egelmeers of Eindhoven (NL)
Venkata Sudhir Konjeti of Eindhoven (NL)
TECHNIQUES TO REDUCE POWER CONSUMPTION FOR A DISTRIBUTED COMPUTATIONAL MODEL MAPPED ONTO A MULTI-PROCESSING NODE SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240111444 titled 'TECHNIQUES TO REDUCE POWER CONSUMPTION FOR A DISTRIBUTED COMPUTATIONAL MODEL MAPPED ONTO A MULTI-PROCESSING NODE SYSTEM
Simplified Explanation
The patent application describes techniques to reduce power consumption for a distributed computational model mapped onto a multi-processing node system. Processing nodes relay indicator information to enable clock gate circuitry to determine whether or not to gate a clock based on data availability or buffer capacity.
- Processing nodes relay indicator information to enable clock gate circuitry to determine whether to gate a clock based on data availability.
- Processing nodes relay indicator information to enable clock gate circuitry to determine whether to gate a clock based on buffer capacity.
Potential Applications
This technology could be applied in various fields such as mobile computing, IoT devices, and cloud computing to optimize power consumption and improve overall efficiency.
Problems Solved
1. Reducing power consumption in distributed computational models. 2. Improving efficiency by gating clocks based on data availability and buffer capacity.
Benefits
1. Enhanced power efficiency. 2. Improved performance of multi-processing node systems. 3. Optimal resource utilization.
Potential Commercial Applications
Optimizing power consumption in mobile devices Improving efficiency in IoT devices Enhancing performance in cloud computing systems
Possible Prior Art
There may be prior art related to power optimization techniques in distributed computing systems, but specific examples are not provided in the abstract.
Unanswered Questions
1. How does the indicator information from processing nodes impact the decision-making process of the clock gate circuitry? 2. Are there any potential drawbacks or limitations to implementing this technology in real-world applications?
Original Abstract Submitted
examples include techniques to reduce power consumption for a distributed computational model mapped onto a multi-processing node system. examples are described of processing nodes relaying indicator information to enable clock gate circuitry to determine whether or not to gate a clock to stall consuming compute circuitry based on availability of data to consume. examples are also described of processing nodes relaying indicator information to enable clock gate circuitry to determine whether or not to gate a clock to stall producing compute circuitry based on available buffer capacity at a consuming compute circuitry.
