View source for 17958108. TECHNIQUES TO REDUCE POWER CONSUMPTION FOR A DISTRIBUTED COMPUTATIONAL MODEL MAPPED ONTO A MULTI-PROCESSING NODE SYSTEM simplified abstract (Intel Corporation)

=TECHNIQUES TO REDUCE POWER CONSUMPTION FOR A DISTRIBUTED COMPUTATIONAL MODEL MAPPED ONTO A MULTI-PROCESSING NODE SYSTEM=


==Organization Name==

[[:Category:Intel Corporation|Intel Corporation]]


[[Category:Intel Corporation]]

==Inventor(s)==

[[:Category:Javier Martin Langerwerf of Toenisvorst (DE)|Javier Martin Langerwerf of Toenisvorst (DE)]][[Category:Javier Martin Langerwerf of Toenisvorst (DE)]]

[[:Category:Jeroen Leijten of Hulsel (NL)|Jeroen Leijten of Hulsel (NL)]][[Category:Jeroen Leijten of Hulsel (NL)]]

[[:Category:Gerard Egelmeers of Eindhoven (NL)|Gerard Egelmeers of Eindhoven (NL)]][[Category:Gerard Egelmeers of Eindhoven (NL)]]

[[:Category:Venkata Sudhir Konjeti of Eindhoven (NL)|Venkata Sudhir Konjeti of Eindhoven (NL)]][[Category: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.



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