Update energy-efficent-framework.md #320
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Added additional considerations in the description Signed-off-by: Jean-Phi <jpulpiano3@gmail.com>
russelltrow
added
initial review
proposed pattern
LiyaMath
requested changes
Aug 11, 2024
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| Take into accoutn that in the Cloud for example the processing time of non CPU intensive applications is mostly spent idling because of the strong interservice dependencies that are network related (In other words a request through the network is typically 10000+ times slower than a CPU operation). | ||
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| Libraries like TensorFlow or PyTorch allow to leverage GPUs easily that would have a different consumption scheme compared to CPUs, TPU for TensorFlow typically outperform as well CPUs: All these points need to be properly analyzed before selecting a language that might bring drawbacks in terms of staffing skilled people. |
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| Libraries like TensorFlow or PyTorch allow to leverage GPUs easily that would have a different consumption scheme compared to CPUs, TPU for TensorFlow typically outperform as well CPUs: All these points need to be properly analyzed before selecting a language that might bring drawbacks in terms of staffing skilled people. | |
| Libraries like TensorFlow or PyTorch allow easy GPU utilization, which has a different consumption pattern compared to CPUs. TPUs (Tensor Processing Units) in TensorFlow typically outperform CPUs. All these points need proper analysis before selecting a language, as it may impact staffing skilled personnel. |
| @@ -18,6 +18,12 @@ Training an AI model implies a significant carbon footprint. The underlying fram | |||
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| Typically, AI/ML frameworks built on languages like C/C++ are more energy efficient than those built on other programming languages. | |||
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| Following provides an interesting view on a [normalized analysis regarding languages and their energy footprint(https://sites.google.com/view/energy-efficiency-languages/results?authuser=0)]. | |||
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| Following provides an interesting view on a [normalized analysis regarding languages and their energy footprint(https://sites.google.com/view/energy-efficiency-languages/results?authuser=0)]. | |
| Following provides an interesting view on a [normalized analysis regarding languages and their energy footprint](https://sites.google.com/view/energy-efficiency-languages/results?authuser=0). |
| @@ -18,6 +18,12 @@ Training an AI model implies a significant carbon footprint. The underlying fram | |||
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| Typically, AI/ML frameworks built on languages like C/C++ are more energy efficient than those built on other programming languages. | |||
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| Following provides an interesting view on a [normalized analysis regarding languages and their energy footprint(https://sites.google.com/view/energy-efficiency-languages/results?authuser=0)]. | |||
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| Take into accoutn that in the Cloud for example the processing time of non CPU intensive applications is mostly spent idling because of the strong interservice dependencies that are network related (In other words a request through the network is typically 10000+ times slower than a CPU operation). | |||
There was a problem hiding this comment.
Suggested change
| Take into accoutn that in the Cloud for example the processing time of non CPU intensive applications is mostly spent idling because of the strong interservice dependencies that are network related (In other words a request through the network is typically 10000+ times slower than a CPU operation). | |
| In the cloud, the processing time for non-CPU-intensive applications is often spent idling due to strong inter-service dependencies that are network-related. In other words, a request over the network is typically more than 10,000 times slower than a CPU operation. |
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Added additional considerations in the description
Title
Title of the pattern
Version
Designation of iteration on the pattern. This will initially be assigned by the patterns working group
Submitted By
The name of the person(s) submitting the pattern
Published Date
The date this version of the pattern is published. This will be provided by the patterns working group upon approval
Intent
Subtitle describing what this pattern is expected to do
Tags
Pre-defined list of tags which might apply to the pattern (e.g. Cloud, Web)
Problem
What is the problem this pattern is solving
Solution
How will this patter solve the problem
SCI Impact
How will this pattern affect an SCI score of an application and why
Assumptions
What are the assumptions being made
Pros & Cons
Discussion section for pros and cons of this pattern