17958108. TECHNIQUES TO REDUCE POWER CONSUMPTION FOR A DISTRIBUTED COMPUTATIONAL MODEL MAPPED ONTO A MULTI-PROCESSING NODE SYSTEM simplified abstract (Intel Corporation)
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 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 17958108 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 in a distributed computational model mapped onto a multi-processing node system. Processing nodes relay indicator information to enable clock gate circuitry to determine whether 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 or buffer capacity.
- Clock gate circuitry can stall consuming or producing compute circuitry based on the availability of data to consume or buffer capacity at a consuming compute circuitry.
Potential Applications
This technology could be applied in various fields such as:
- High-performance computing
- Internet of Things (IoT) devices
- Embedded systems
Problems Solved
- Reducing power consumption in distributed computational models
- Optimizing clock gating to improve efficiency
Benefits
- Lower energy costs
- Extended battery life for portable devices
- Improved performance in multi-processing systems
Potential Commercial Applications
Optimizing power consumption in multi-processing systems for:
- Data centers
- Mobile devices
- Industrial automation systems
Possible Prior Art
One possible prior art could be techniques for power optimization in multi-processing systems developed by leading semiconductor companies.
Unanswered Questions
How does this technology compare to existing power optimization techniques in multi-processing systems?
This article does not provide a direct comparison with existing power optimization techniques in multi-processing systems. Further research or analysis would be needed to determine the specific advantages of this technology over others.
What are the potential limitations or drawbacks of implementing this technology in practical applications?
This article does not address potential limitations or drawbacks of implementing this technology in practical applications. Additional studies or real-world testing may be necessary to identify any challenges that could arise.
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.