- Read again, i correct a last typo because i write fast.. - 1 Update
- Yet we have to be more smartness.. - 1 Update
- We have to be smarter, so read my following post - 1 Update
- You have to rethink computing - 1 Update
- About Reversible algorithms and Energy-efficient computing - 1 Update
- Is energy-efficient software the next step to reduce operating costs? - 1 Update
| Sky89 <Sky89@sky68.com>: Jun 07 07:23PM -0400 Hello.. Read again, i correct a last typo because i write fast.. Yet we have to be more smartness.. I have posted before about Reversible algorithms and how they bring a lot of energy efficiency.. But i have thought rapidly about that, and i think that we have not be crazy about Reversible algorithms and rethink computing with them, because Nuclear fusion will be here fast, and the scientists anticipate the output of fusion energy would be more than twice the power used to heat the plasma, achieving the ultimate technical milestone: positive net energy from fusion, and as you have noticed on the following webpage that i think this can be "exponential", since the output is a positive energy and a double of the input energy from fusion, so we can feed the output to another input and so on and so on and get exponentially much more energy with fusion, so no need of Reversible algorithms or no need to be crazy about Reversible algorithms and no need to rethink computing with them, read the following to notice it: Nuclear fusion on brink of being realised, say MIT scientists Read more here: https://www.theguardian.com/environment/2018/mar/09/nuclear-fusion-on-brink-of-being-realised-say-mit-scientists Thank you, Amine Moulay Ramdane. |
| Sky89 <Sky89@sky68.com>: Jun 07 07:15PM -0400 Hello.. Yet we have to be more smartness.. I have posted before about Reversible algorithms and how they bring a lot of energy efficient.. But i have thought rapidly about that, and i think that we have not be crazy about Reversible algorithms and rethink computing with them, because Nuclear fusion will be here fast, and the scientists anticipate the output of fusion energy would be more than twice the power used to heat the plasma, achieving the ultimate technical milestone: positive net energy from fusion, and as you have noticed on the following webpage that i think this can be "exponential", since the output is a positive energy and a double of the input energy from fusion, so we can feed the output to another input and so on and so on and get exponentially much more energy with fusion, so no need of Reversible algorithms or no need to be crazy about Reversible algorithms and no need to rethink computing with them, read the following to notice it: Nuclear fusion on brink of being realised, say MIT scientists Read more here: https://www.theguardian.com/environment/2018/mar/09/nuclear-fusion-on-brink-of-being-realised-say-mit-scientists Thank you, Amine Moulay Ramdane. |
| Sky89 <Sky89@sky68.com>: Jun 07 05:37PM -0400 Hello, I am a more serious computer programmer that has invented many scalable algorithms, so we have to be smarter, so read my following post: Memory is a negligible factor in energy efficiency, because it uses very little power (we're for example talking less than 3 watts per stick in a laptop). So the CPU is taking much much more energy than memory, this is why you have to rethink computing by using reversible algorithms "or" more reversible algorithms, read about how to do it here in this paper: Energy-Efficient Algorithms https://arxiv.org/abs/1605.08448 Also read the following about the programming language 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. Read the more here and you will notice that Java is one of the most energy-efficient languages, Python among least energy efficient, and Pascal and Object Pascal of FreePascal is scoring as Java on energy efficiency: https://jaxenter.com/energy-efficient-programming-languages-137264.html Also 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 Also Delphi is still better for many things, and you have to get more "technical" to understand it, this is why you have to look at this following video about Delphi that is more technical: Why are C# Developers choosing Delphi to create Mobile applications https://www.youtube.com/watch?v=m8ToSr4zOVQ Thank you, Amine Moulay Ramdane. |
| Sky89 <Sky89@sky68.com>: Jun 07 05:21PM -0400 Hello.. You have to rethink computing, read the following "very" important paper(that i am reading) and you will notice it: Energy-Efficient Algorithms https://arxiv.org/abs/1605.08448 Thank you, Amine Moulay Ramdane. |
| Sky89 <Sky89@sky68.com>: Jun 07 05:02PM -0400 Hello, About Reversible algorithms and Energy-efficient computing Reversible algorithms behave the same way. "If you can play everything backwards, then no energy has escaped during your computation," says Demaine. "That's good news. It means we can effectively sidestep Landauer's principle." While conservative computing may enable programs to run twice as fast, reversible computing could enable them to run millions of times faster. Using specially devised theoretical models, Demaine and Lynch have spent the past six months analyzing basic algorithms to see whether they can be made reversible—or more reversible. (There's a fundamental limit on how reversible some algorithms can be.) Already they've found more-efficient replacements for some algorithms used in everyday computational tasks such as sorting, searching, and finding the shortest path between two points in a network. One example is "binary search trees," which are procedures for organizing data so the data can be retrieved quickly. According to Demaine, binary search trees are used in nearly every computer ever made, and they involve millions of functions and a lot of energy consumption. "But with a couple of tricks, we got energy use down to zero," he says. "With the new algorithms, we require only the energy needed to store the data, no additional energy to organize it." Demaine is pleased with their progress. "It's like starting over," he says. "Take all the algorithms you learned in your undergraduate class and throw them out the window, or look at all existing algorithms and say, OK, this is bad, let's make it better." And their results so far "just scratch the surface of what's possible," he says, noting in particular the huge potential for energy savings in procedures used for processing big data, such as when running network routers or performing web searches. Read more here: http://energy.mit.edu/news/energy-efficient-computing/ Thank you, Amine Moulay Ramdane. |
| Sky89 <Sky89@sky68.com>: Jun 07 04:32PM -0400 Hello, Is energy-efficient software the next step to reduce operating costs? Read more here: https://searchdatacenter.techtarget.com/opinion/Is-energy-efficient-software-the-next-step-to-reduce-operating-costs 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. Read the more here and you will notice that Java is one of the most energy-efficient languages, Python among least energy efficient, and Pascal and Object Pascal of FreePascal is scoring as Java on energy efficiency: 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 Also Delphi is still better for many things, and you have to get more "technical" to understand it, this is why you have to look at this following video about Delphi that is more technical: Why are C# Developers choosing Delphi to create Mobile applications https://www.youtube.com/watch?v=m8ToSr4zOVQ Thank you, Amine Moulay Ramdane. |
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