How to beat Moore’s Law ?

[amin...@gmail.com]

Hello,


I am a white arab that is an inventor of many scalable algorithms and there implementations, and now i will talk about:
"How to beat Moore’s Law ?" and more about: "Energy efficiency"..

How to beat Moore’s Law ?

I think with the following discovery, Graphene can finally be used in CPUs, and it is a scale out method, read about the following discovery and you will notice it:

New Graphene Discovery Could Finally Punch the Gas Pedal, Drive Faster CPUs

Read more here:

https://www.extremetech.com/computing/267695-new-graphene-discovery-could-finally-punch-the-gas-pedal-drive-faster-cpus

The scale out method above with Graphene is very interesting, and here is the other scale up method with multicores and parallelism:

Beating Moore’s Law: Scaling Performance for Another Half-Century

Read more here:

https://www.infoworld.com/article/3287025/beating-moore-s-law-scaling-performance-for-another-half-century.html


More about Energy efficiency..

You have to be aware that parallelization of the software
can lower power consumption, and here is the formula
that permits you to calculate the power consumption of
"parallel" software programs:

Power consumption of the total cores = (The number of cores) * ( 1/(Parallel speedup))^3) * (Power consumption of the single core).


Also read the following about energy efficiency:

Energy efficiency isn’t just a hardware problem. Your programming
language choices can have serious effects on the efficiency of your
energy consumption. We dive deep into what makes a programming language
energy efficient.

As the researchers discovered, the CPU-based energy consumption always
represents the majority of the energy consumed.

What Pereira et. al. found wasn’t entirely surprising: speed does not
always equate energy efficiency. Compiled languages like C, C++, Rust,
and Ada ranked as some of the most energy efficient languages out there,
and Java and FreePascal are also good at Energy efficiency.

Read more here:

https://jaxenter.com/energy-efficient-programming-languages-137264.html

RAM is still expensive and slow, relative to CPUs

And "memory" usage efficiency is important for mobile devices.

So Delphi and FreePascal compilers are also still "useful" for mobile
devices, because Delphi and FreePascal are good if you are considering
time and memory or energy and memory, and the following pascal benchmark
was done with FreePascal, and the benchmark shows that C, Go and Pascal
do rather better if you’re considering languages based on time and
memory or energy and memory.

Read again here to notice it:

https://jaxenter.com/energy-efficient-programming-languages-137264.html


Thank you,
Amine Moulay Ramdane.