| "Christian Hanné" <the.hanne@gmail.com>: Feb 06 05:32AM +0100 > I have just invented a new powerful scalable fast mutex, and it has the following characteristics: > 1- Starvation-free Impossible. > 7- It solves the problem of lock convoying Impossible. |
| Amine Moulay Ramdane <aminer68@gmail.com>: Feb 10 12:21PM -0800 Hello.. More about data centers and about NUMA multicore servers and more.. About Snooping vs. Directory-based coherency.. Performance Scalability of a Multi-core Web Server Read more here: https://www.cse.wustl.edu/ANCS/slides/Bryan%20Veal%20ANCS%20Presentation.pdf As you notice above that the Address bus saturation causes poor scaling! And the Address Bus carries requests and responses for data, called snoops, and more caches mean more sources and more destinations for snoops that is causing the poor scaling. So to solve the problem of poor scalability above, you have to use Directory-based coherence that is a mechanism to handle Cache coherence problem in Distributed shared memory (DSM) a.k.a. Non-Uniform Memory Access (NUMA). And you have to know that Directory-Based Cache Coherence is scalable. Read more here about it: http://www.cs.cmu.edu/afs/cs/academic/class/15418-s19/www/lectures/13_directory.pdf So you have to choose Directory-Based Cache Coherence that is scalable by using NUMA systems. And you have to know that data centers are now typically using NUMA multicore servers that provide "scalable" system performance and "cost-effective" property and that provide Directory-Based Cache Coherence that is scalable. Read more here: https://books.google.ca/books?id=3iy6BQAAQBAJ&pg=PA32&lpg=PA32&dq=NUMA+systems+are+cost+effective&source=bl&ots=zXHJZ7oqqW&sig=ACfU3U24MbzxiuPXJB6W6p0JCtkl9hxCHQ&hl=en&sa=X&ved=2ahUKEwjX9o_gubTqAhVBc98KHU0WDJ8Q6AEwCnoECAgQAQ#v=onepage&q=NUMA%20systems%20are%20cost%20effective&f=false AI system optimally allocates workloads across thousands of servers to cut costs, save energy Read more here: https://techxplore.com/news/2019-08-ai-optimally-allocates-workloads-thousands.html It is related to the following article, i invite you to read it: Why Energy Is A Big And Rapidly Growing Problem For Data Centers It's either a breakthrough in our compute engines, or we need to get deadly serious about doubling the number of power plants on the planet. Read more here: https://www.forbes.com/sites/forbestechcouncil/2017/12/15/why-energy-is-a-big-and-rapidly-growing-problem-for-data-centers/#1d126295a307 And it is related to my following thoughts, i invite you to read them: About how to beat Moore's Law and about Energy efficiency.. I am a white arab and i am also an inventor of many scalable algorithms and algorithms, 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 Also read the following: "Also Modern programing environments contribute to the problem of software bloat by placing ease of development and portable code above speed or memory usage. While this is a sound business model in a commercial environment, it does not make sense where IT resources are constrained. Languages such as Java, C-Sharp, and Python have opted for code portability and software development speed above execution speed and memory usage, while modern data storage and transfer standards such as XML and JSON place flexibility and readability above efficiency. The Army can gain significant performance improvements with existing hardware by treating software and operating system efficiency as a key performance parameter with measurable criteria for CPU load and memory footprint. The Army should lead by making software efficiency a priority for the applications it develops. Capability Maturity Model Integration (CMMI) version 1.3 for development processes should be adopted across Army organizations, with automated code analysis and profiling being integrated into development. Additionally, the Army should shape the operating system market by leveraging its buying power to demand a secure, robust, and efficient operating system for devices. These metrics should be implemented as part of the Common Operating Environment (COE)." And about improved Algorithms: Hardware improvements mean little if software cannot effectively use the resources available to it. The Army should shape future software algorithms by funding basic research on improved software algorithms to meet its specific needs. The Army should also search for new algorithms and techniques which can be applied to meet specific needs and develop a learning culture within its software community to disseminate this information." Read the following: https://smallwarsjournal.com/jrnl/art/overcoming-death-moores-law-role-software-advances-and-non-semiconductor-technologies 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. |
| Amine Moulay Ramdane <aminer68@gmail.com>: Feb 10 12:14PM -0800 Hello.. An Interview with Dr. Jay Hoeflinger about Automatic Parallelization Read more here: http://www.thinkingparallel.com/2007/08/14/an-interview-with-dr-jay-hoeflinger-about-automatic-parallelization/ Coffee lovers, rejoice! Drinking more coffee associated with decreased heart failure risk Read more here: https://www.sciencedaily.com/releases/2021/02/210209083513.htm AI system optimally allocates workloads across thousands of servers to cut costs, save energy Read more here: https://techxplore.com/news/2019-08-ai-optimally-allocates-workloads-thousands.html It is related to the following article, i invite you to read it: Why Energy Is A Big And Rapidly Growing Problem For Data Centers It's either a breakthrough in our compute engines, or we need to get deadly serious about doubling the number of power plants on the planet. Read more here: https://www.forbes.com/sites/forbestechcouncil/2017/12/15/why-energy-is-a-big-and-rapidly-growing-problem-for-data-centers/#1d126295a307 And it is related to my following thoughts, i invite you to read them: About how to beat Moore's Law and about Energy efficiency.. I am a white arab and i am also an inventor of many scalable algorithms and algorithms, 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 Also read the following: "Also Modern programing environments contribute to the problem of software bloat by placing ease of development and portable code above speed or memory usage. While this is a sound business model in a commercial environment, it does not make sense where IT resources are constrained. Languages such as Java, C-Sharp, and Python have opted for code portability and software development speed above execution speed and memory usage, while modern data storage and transfer standards such as XML and JSON place flexibility and readability above efficiency. The Army can gain significant performance improvements with existing hardware by treating software and operating system efficiency as a key performance parameter with measurable criteria for CPU load and memory footprint. The Army should lead by making software efficiency a priority for the applications it develops. Capability Maturity Model Integration (CMMI) version 1.3 for development processes should be adopted across Army organizations, with automated code analysis and profiling being integrated into development. Additionally, the Army should shape the operating system market by leveraging its buying power to demand a secure, robust, and efficient operating system for devices. These metrics should be implemented as part of the Common Operating Environment (COE)." And about improved Algorithms: Hardware improvements mean little if software cannot effectively use the resources available to it. The Army should shape future software algorithms by funding basic research on improved software algorithms to meet its specific needs. The Army should also search for new algorithms and techniques which can be applied to meet specific needs and develop a learning culture within its software community to disseminate this information." Read the following: https://smallwarsjournal.com/jrnl/art/overcoming-death-moores-law-role-software-advances-and-non-semiconductor-technologies 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 Using artificial intelligence to find new uses for existing medications Read more here: https://techxplore.com/news/2021-01-artificial-intelligence-medications.html New research shows machine learning could lop a year off technology design cycle Read more here: https://techxplore.com/news/2021-01-machine-lop-year-technology.html Accelerating AI computing to the speed of light Read more here: https://techxplore.com/news/2021-01-ai.html At a major AI research conference, one researcher laid out how existing AI techniques might be used to analyze causal relationships in data. Read more here: https://www.technologyreview.com/2019/05/08/135454/deep-learning-could-reveal-why-the-world-works-the-way-it-does/ Also read the following news: Researchers engineer a tiny antibody capable of neutralizing the coronavirus Read more here: https://phys.org/news/2021-02-tiny-antibody-capable-neutralizing-coronavirus.html?fbclid=IwAR0B7TKas-la17aRdsYiZVLw7nYwrLlKF3ldkiduV3W0oTGwKDGPAnpHcrE Scientists uncover potential antiviral treatment for COVID-19 Read more here: https://medicalxpress.com/news/2021-02-scientists-uncover-potential-antiviral-treatment.html?fbclid=IwAR18LKpb4CIG5lhhe4XD0Rvr6is_-KaraqfitniXEoFMJiyOgdsMan-bRgQ Computer model makes strides in search for COVID-19 treatments Read more here: https://medicalxpress.com/news/2021-02-covid-treatments.html?fbclid=IwAR1AYnulQoHxXifEkP_qQWMOrZDdFAw4HoWbWwPPP__LEkvyGKpfb9jWNGk Look at this interesting video: Are Hydrogen-Powered Cars The Future? https://www.youtube.com/watch?v=NfkfLRiYgac&fbclid=IwAR2Yh84hKWElluUoqsApfyQQkbE578PzQHqhCa9vsUDRbc2h0eqnlc-JTF4 More about Protein Folding and more of my news.. Look at the following interesting video: Has Protein Folding Been Solved? https://www.youtube.com/watch?v=yhJWAdZl-Ck And read the following news about Protein Folding: DeepMind may just have cracked one of the grandest challenges in biology. One that rivals the discovery of DNA's double helix. It could change biomedicine, drug discovery, and vaccine development forever. Read more here: https://singularityhub.com/2020/12/15/deepminds-alphafold-is-close-to-solving-one-of-biologys-greatest-challenges/ Here is a new important discovery and more news.. Solving complex physics problems at lightning speed "A calculation so complex that it takes twenty years to complete on a powerful desktop computer can now be done in one hour on a regular laptop. Physicists have now designed a new method to calculate the properties of atomic nuclei incredibly quickly." Read more here: https://www.sciencedaily.com/releases/2021/02/210201090810.htm Why is MIT's new "liquid" AI a breakthrough innovation? Read more here: https://translate.google.com/translate?hl=en&sl=auto&tl=en&u=https%3A%2F%2Fintelligence-artificielle.developpez.com%2Factu%2F312174%2FPourquoi-la-nouvelle-IA-liquide-de-MIT-est-elle-une-innovation-revolutionnaire-Elle-apprend-continuellement-de-son-experience-du-monde%2F And here is Ramin Hasani, Postdoctoral Associate (he is an Iranian): https://www.csail.mit.edu/person/ramin-hasani And here he is: http://www.raminhasani.com/ He is the study's lead author of the following new study: New 'Liquid' AI Learns Continuously From Its Experience of the World Read more here: https://singularityhub.com/2021/01/31/new-liquid-ai-learns-as-it-experiences-the-world-in-real-time/ And read the following interesting news: Global race for artificial intelligence: the EU continues to fall behind the leading US and China Read more here: https://translate.google.com/translate?hl=en&sl=auto&tl=en&u=https%3A%2F%2Fintelligence-artificielle.developpez.com%2Factu%2F312189%2FCourse-mondiale-a-l-intelligence-artificielle-l-UE-continue-de-se-laisser-distancer-par-les-Etats-Unis-premiers-en-la-matiere-et-par-la-Chine-qui-se-rapproche-du-sommet-a-grande-vitesse%2F And read my following news: More precision about Metformin and COVID 19 and more.. I have just read the following study about Metformin and COVID 19, i invite you to read it: https://www.thelancet.com/action/showPdf?pii=S2666-7568%2820%2930033-7 I think that the above study was not yet precise, so it can not be generalized. Here is the study that can be generalized for age, sex, race, obesity, and hypertension or chronic kidney disease and heart failure: "Use of the diabetes drug metformin -- before a diagnosis of COVID-19 -- is associated with a threefold decrease in mortality in COVID-19 patients with Type 2 diabetes, according to a new study. Diabetes is a significant comorbidity for COVID-19. This beneficial effect remained, even after correcting for age, sex, race, obesity, and hypertension or chronic kidney disease and heart failure. "This beneficial effect remained, even after correcting for age, sex, race, obesity, and hypertension or chronic kidney disease and heart failure," said Anath Shalev, M.D., director of UAB's Comprehensive Diabetes Center and leader of the study. "Since similar results have now been obtained in different populations from around the world -- including China, France and a UnitedHealthcare analysis -- this suggests that the observed reduction in mortality risk associated with metformin use in subjects with Type 2 diabetes and COVID-19 might be generalizable," Shalev said. After controlling for other covariates, age, sex and metformin use emerged as independent factors affecting COVID-19-related mortality. Interestingly, even after controlling for all these other covariates, death was significantly less likely -- with an odds ratio of 0.33 -- for Type 2 diabetes subjects taking metformin, compared with those who did not take metformin." Read more here: https://www.sciencedaily.com/releases/2021/01/210114164004.htm About Metformin and COVID 19 and more.. People who suffer from diabetes are at greater risk of death from diseases like COVID 19. Researchers found that those taking metformin (a cheap and popular anti-diabetes drug) are protected from COVID 19. Future studies will have to explore how metformin might confer these protective effects, provide a careful risk benefit assessment and determine whether the indications for metformin treatment should be broadened in the face of the ongoing COVID-19 pandemic. Read more here: https://www.medrxiv.org/content/10.1101/2020.07.29.20164020v1 About Metformin and Statin and cancers.. Metformin found not to prevent prostate cancer: Read more here: https://www.renalandurologynews.com/home/news/urology/prostate-cancer/metformin-found-not-to-prevent-prostate-cancer/ But Metformin, Statin Combination Reduces Mortality in High-Risk Prostate Cancer Read more here to notice: "Patients who received the combination also experienced a reduction in risk for all-cause mortality (32%) and prostate cancer mortality (54%). However, metformin alone did not have any significant effects on all-cause and prostate cancer mortality. https://www.curetoday.com/view/metformin-statin-combination-reduces-mortality-in-highrisk-prostate-cancer And notice that the longer half-lives of rosuvastatin, atorvastatin, pitavastatin, and pravastatin allow these agents to maintain a therapeutic drug concentration over a 24-hour period and allow alternate administration times. And taking Metformin prevents other cancers, read here to notice it: "Indeed, observational studies with time-related biases have reported extraordinary effects of ranging from 20 to 94% reductions in the risk of cancer (10), suggesting that metformin may be more effective at preventing or treating cancer than preventing the cardiovascular complications of diabetes." https://care.diabetesjournals.org/content/37/7/1786#:~:text=Indeed%2C%20observational%20studies%20with%20time,the%20cardiovascular%20complications%20of%20diabetes. And more precision about I3C (Indole-3-carbinol) and cancer.. I have just read the following article, i invite you to read it: Broccoli and Brussels sprouts: Cancer foes https://news.harvard.edu/gazette/story/2019/05/beth-israel-researchers-uncover-anti-cancer-drug-mechanism-in-broccoli/ But i think that the above article is not speaking about the following research that says the following about I3C (Indole-3-carbinol): "In vivo studies showed that I3C inhibits the development of different cancers in several animals when given before or in parallel to a carcinogen. However, when I3C was given to the animals after the carcinogen, I3C promoted carcinogenesis. This concern regarding the long-term effects of I3C treatment on cancer risk in humans resulted in some caution in the use of I3C as a dietary supplement in cancer management protocols" Read more here to notice it: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5989150/ So i don't advice to take I3C(Indole-3-carbinol) as a dietary supplement, because I3C(Indole-3-carbinol) can reduce the risk of cancer , but still you can have cancer even if you take I3C(Indole-3-carbinol) , so it is dangerous to take I3C(Indole-3-carbinol) because taking I3C(Indole-3-carbinol) after the carcinogen promotes carcinogenesis(read my writing above to notice it). Moderna's Covid vaccine appears to work against new, more infectious variants of the pandemic virus found in the UK and South Africa, say scientists from the US pharmaceutical company. Read more here: https://www.bbc.com/news/health-55797312 Covid: How worrying are the UK, South Africa, and Brazil coronavirus variants? Read more here: https://www.bbc.com/news/health-55659820 London School of Hygiene & Tropical Medicine calculated that South Africa's 501Y.V2 variant could be 50% more transmissible but no better at evading immunity, or just as transmissible as previous variants but able to evade immunity in one in five people |
| Amine Moulay Ramdane <aminer68@gmail.com>: Feb 10 07:25AM -0800 Hello, This was my last post about philosophy, from now on i will post only about parallel programming. Thank you, Amine Moulay Ramdane. |
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