- More of my philosophy about thesis and antithesis and the synthesis of dialectical materialism and about scalability of productivity and more of my thoughts.. - 1 Update
- More of my philosophy about copyright lawsuit that could shape the future of generative AI and more about artificial intelligence and more of my thoughts.. - 1 Update
- More of my philosophy about technology and about Intel technology and more of my thoughts.. - 1 Update
| Amine Moulay Ramdane <aminer68@gmail.com>: Dec 05 04:43PM -0800 Hello, More of my philosophy about thesis and antithesis and the synthesis of dialectical materialism and about scalability of productivity and more of my thoughts.. I am a white arab from Morocco, and i think i am smart since i have also invented many scalable algorithms and algorithms.. I think i am highly smart since I have passed two certified IQ tests and i have scored above 115 IQ, so i mean that it is "above" 115 IQ, so i am discovering patterns with my fluid intelligence about what is marxism and communism here they are: So i think that thesis and antithesis and the synthesis of dialectical materialism of marxism and communism, is by logical analogy like the process of competition between ideas or between people that brings quality, so you can have a "synthesis" of private property and socialism understood as thesis and antithesis, and you can have collision of the bourgeoisie and the working class as competing thesis and antithesis that can bring a synthesis as quality, so i think that marxism and communism say that the bourgeoisie of the capitalistic system is not capable of treating correctly the working class, and i think it is from where comes marxism, but i think that this way of thinking is too extremist in our today world , since i also say that workers living standards depend on wage levels, not wage ratios, eventhough when measuring wage dispersion, economists frequently look at the 90/50 ratio, so i think that we have not to be pessimistic about the living standards that has brought capitalism, and of course capitalism is not a zero sum game, since with a reasonable level of growth, capitalism can both deliver rising living standards for most, and still ensure a relatively high rate of return to the owners of capital, and i will also talk about Class struggle of Communism and Marxism by first asking the following philosophical question of: Is Class struggle "valid" and a good thing to have ? I will say that there is not one type of Class struggle, because we can have "levels" of Class Struggle, such as the Class Struggle of Communism and Marxism under Mao Zedong in China, and i think it is logically inferred in Marxism from the fact that there is antagonistic contradictions that are contradiction between the Chinese communists and Chinese bourgeoisie and between the imperialist camp and the socialist camp, so we can also consider that this antagonistic contradictions also comes from the fact that we can be genetically predisposed to being smart or having a good memory efficiency and such genetical characteristics, so this gives much more "chance" to those that have this kind of genetical predispositions to become rich and successful, so this is why Communism and Marxism says that we have to equalize much more between people, so this is why i think it is also a kind of competition that gives this kind of Class Struggle, but i will say that the fact that we equalize much more between people in a society is not good for "diversity" inside the society and it is not good for efficiency, since we have to have a level of diversity that brings "resilience" to the organization of a society, and even in economy we have to have a level of diversification of economy that brings resilience, so this is why i think that the level of Class struggle that we have to have doesn't look like archaism of Communism or Marxism, since i think we have to have some kind of Social Assistance and Social Solidarity and we have to have social programs that help the weakest members of the society or the poors of the society in a kind of way, so we have also to have a level of Class Struggle that is like a competition that ensure that those kind of rights of providing some kind of social programs that helps the weakest members and the poors of the society are fought for in a civilized way inside such places as the congress and in Democracy. Now there is also other antagonist contradictions between the government and the people under Democracy or the communist regime, and inside two groups or more inside a political party or within a communist Party, and i think that we have to have civilized ways and manners like by vigorous criticism and self-criticism so that to resolve those kind of antagonist contradictions. More precision of my philosophy about decentralization and about productivity and about scalability and more of my thoughts.. Please reread my following thoughts about scalability of productivity below, since i have just corrected some typos in it, so as you understand from my thoughts that the how to make productivity efficiently scalable is easy for me, since i am understanding the how of it by discovering patterns with my fluid intelligence, so i invite you to reread my thoughts: I think i am highly smart, and I have passed two certified IQ tests and i have scored above 115 IQ, and i mean that it is "above", i think i am discovering other patterns with my fluid intelligence about decentralization and about scalability of productivity, and it is that as i am saying below about scalability of productivity, that you have to take care of the "coherency", and i think that the coherency is quadratic in a complexity of O(n^2), and it is not like contention that is in a complexity of O(n), so it is why you have to know how to decentralize efficiently so that to lower the complexity of the coherency, so there is not only specialization in a job in what you do better that higher productivity and quality, but there is also the efficient decentralization and the efficiently lowering the contention and efficiently lowering the coherency. So notice how i am replying below to the PhD computer scientist about scalability of productivity, but you have to know that it is inherent in my answer below that you have to take care of the coherency as i am explaining above. So read my following thoughts so that to understand my views: More of my philosophy about IQ tests and more of my thoughts.. I think i am highly smart, and I have passed two certified IQ tests and i have scored above 115 IQ, but i have just passed more and more IQ tests, and i have just noticed that the manner in wich we test with IQ tests is not correct, since in an IQ test you can be more specialized and above average in one subtest of intelligence than in another subtest of intelligence inside an IQ test, since IQ tests test for many kind of intelligences such as the spatial and speed and calculations and logical intelligence etc., so i think that you can be really above average in logical intelligence, as i am really above average in logical intelligence, but at the same time you can be below average in calculations and/or spatial.., so since an IQ test doesn't test for this kind of specializations of intelligence, so i think it is not good, since testing for this kind specializations in intelligence is really important so that to be efficient by knowing the strong advantages of this or that person in every types of intelligences. And about the importance of specialization, read carefully my following thought about it: More of my philosophy about specialization and about efficiency and productivity.. The previous CEO Larry Culp of General Electric and the architect of a strategy that represented a new turning point in the world corporate strategies, Larry Culp's strategy was to divide the company according to its activities. Something like we are better of alone, seperately and focused on each one's own activity, than together in a large conglomerate. And it is a move from integration to specialization. You see it is thought that a company always gains economies of scale as it grows, but this is not necessarily the case, since as the company gains in size - especially if it engages in many activities - it also generates its own bureaucracy, with all that entails in term of cost and efficiency. And not only that, it is also often the case that by bringing together very different activities, strategic focus is lost and decision-making is diluted, so that in the end no one ends up taking responsability, it doesn't always happen, but this reasons are basically what is driving this increasing specialization. So i invite to look at the following video so that to understand more about it: The decline of industrial icon of the US - VisualPolitik EN https://www.youtube.com/watch?v=-hqwYxFCY-k And here is my previous thoughts about specialization and productivity so that to understand much more: More about the Japanese Ikigai and about productivity and more of my thoughts.. Read the following interesting article about Japanese Ikigai: The More People With Purpose, the Better the World Will Be https://singularityhub.com/2018/06/15/the-more-people-with-purpose-the-better-the-world-will-be/ I think i am highly smart, so i say that the Japanese Ikigai is like a Japanese philosophy that is like the right combination or "balance" of passion, vocation, and mission, and Ikigai and MTP, as concepts, urge us to align our passions with a mission to better the world, but i think that Japanese Ikiai is a also smart since it gets the "passion" from the "mission", since the mission is also the engine, so you have to align the passion with the mission of the country or the global world so that to be efficient, and Japanese Ikigai is also smart since so that to higher productivity and be efficient, you have to "specialize" in doing a job, but so that to higher more productivity and be more efficient you can also specialize in what you do "better", and it is what is doing Japanese Ikigai, since i think that in Japanese Ikigai, being the passion permits to make you specialized in a job in what you do better, and here is what i have just smartly said about productivity: I think i am highly smart, and i have passed two certified IQ tests and i have scored above 115 IQ, and i will now talk about another important idea of Adam Smith the father of economic Liberalism, and it is about "specialization" in an economic system, since i say that in an economic system we have to be specialized in doing a job so that to be efficient and productive, but not only that, but we have to specialize in doing a job in what we do better so that to be even more efficient and productive, and we have to minimize at best the idle time or the wasting of time doing a job, since i can also say that this average idle time or wasting time of the workers working in parallel can be converted to a contention like in parallel programming, so you have to minimize it at best, and you have to minimize at best the coherency like in parallel programming so that to scale much better, and of course all this can create an economy of scale, and also i invite you to read my following smart and interesting thoughts about scalability of productivity: I will talk about following thoughts from the following PhD computer scientist: https://lemire.me/blog/about-me/ Read more carefully here his thoughts about productivity: https://lemire.me/blog/2012/10/15/you-cannot-scale-creativity/ And i think he is making a mistake in his above webpage about productivity: Since we have that Productivity = Output/Input But better human training and/or better tools and/or better human smartness and/or better human capacity can make the Parallel productivity part much bigger that the Serial productivity part, so it can scale much more (it is like Gustafson's Law). And it looks like the following: About parallelism and about Gustafson's Law.. Gustafson's Law: • If you increase the amount of work done by each parallel task then the serial component will not dominate • Increase the problem size to maintain scaling • Can do this by adding extra complexity or increasing the overall problem size Scaling is important, as the more a code scales the larger a machine it can take advantage of: • can consider weak and strong scaling • in practice, overheads limit the scalability of real parallel programs • Amdahl's law models these in terms of serial and parallel fractions • larger problems generally scale better: Gustafson's law Load balance is also a crucial factor. And read my following thoughts about Evolutionary Design methodology and that is so important so that to understand: And I invite you to look at step 4 of my below thoughts of software Evolutionary Design methodology with agile, here it is: 4- When in agile a team breaks a project into phases, it's called incremental development. An incremental process is one in which software is built and delivered in pieces. Each piece, or increment, represents a complete subset of functionality. The increment may be either small or large, perhaps ranging from just a system's login screen on the small end to a highly flexible set of data management screens. Each increment is fully coded Sprints, Planning, and Retrospectives. And you will notice that it has to be done by "prioritizing" the pieces of the software to be delivered to the customers, and here again in agile you are noticing that we are also delivering prototypes of the software, since we often associate prototypes with nearly completed or just-before launch versions of products. However, designers create prototypes at all phases of the design process at various resolutions. In engineering, students are taught to and practitioners think deeply before setting out to build. However, as the product or system becomes increasingly complex, it becomes increasingly difficult to consider all factors while designing. Facing this reality, designers are no longer just "thinking to build" but also "building to think." By getting hands on and trying to create prototypes, unforeseen issues are highlighted early, saving costs related with late stage design changes. This rapid iterative cycle of thinking and building is what allows designers to learn rapidly from doing. Creating interfaces often benefit from the "build to think" approach. For example, in trying to layout the automotive cockpit, one can simply list all the features, buttons, and knobs that must be incorporated. However, by prototyping the cabin does one really start to think about how the layout should be to the driver in order to avoid confusion while maximizing comfort. This then allows the designer iterate on their initial concept to develop something that is more intuitive and refined. Also prototypes and there demonstrations are designed to get potential customers interested and excited. More of my philosophy about the Evolutionary Design methodology and more.. Here are some important steps of software Evolutionary Design methodology: 1- Taking a little extra time during the project to write solid code and fix problems today, they create a codebase that's easy to maintain tomorrow. 2- And the most destructive thing you can do to your project is to build new code, and then build more code that depends on it, and then still more code that depends on that, leading to that painfully familiar domino effect of cascading changes...and eventually leaving you with an unmaintainable mess of spaghetti code. So when teams write code, they can keep their software designs simple by creating software designs based on small, self-contained units (like classes, modules, services, etc.) that do only one thing; this helps avoid the domino effect. 3- Instead of creating one big design at the beginning of the project that covers all of the requirements, agile architects use incremental design, which involves techniques that allow them to design a system that is not just complete, but also easy for the team to modify as the project changes. 4- When in agile a team breaks a project into phases, it's called incremental development. |
| Amine Moulay Ramdane <aminer68@gmail.com>: Dec 05 02:14PM -0800 Hello, More of my philosophy about copyright lawsuit that could shape the future of generative AI and more about artificial intelligence and more of my thoughts.. I am a white arab from Morocco, and i think i am smart since i have also invented many scalable algorithms and algorithms.. I invite you to read the following new interesting article: This Copyright Lawsuit Could Shape the Future of Generative AI Read more here: https://www.wired.com/story/this-copyright-lawsuit-could-shape-the-future-of-generative-ai/ More of my philosophy about artificial intelligence and about automation and about how to boost productivity with artificial intelligence and more.. You can boost productivity with artificial intelligence by: 1- More accurate demand forecasting using AI and machine learning 2- Predictive maintenance 3- Hyper-personalized manufacturing 4- Optimizing manufacturing processes 5- Automated material procurement Read more here carefully about those 5 ways artificial intelligence can boost productivity: https://www.industryweek.com/technology-and-iiot/article/22025683/5-ways-artificial-intelligence-can-boost-productivity And more of my philosophy about understanding K-means Clustering in Machine Learning and more.. I have just read about the K-means clustering algorithm, and i think it is also for grouping similar data points together and discover underlying patterns, it is why it is used in machine learning, i have just quickly understood it, so i invite you to read about it in the following interesting article: Understanding K-means Clustering in Machine Learning https://towardsdatascience.com/understanding-k-means-clustering-in-machine-learning-6a6e67336aa1 And to be more smart, i invite you to look in the following at how K-means Clustering algorithm is used smartly in a delivery store optimization that optimizes the process of good delivery using truck drones by using a combination of k-means to find the optimal number of launch locations and a genetic algorithm to solve the truck route as a traveling salesman problem. And here is a paper from the journal of industrial engineering and management on the subject, you have to read it carefully, since i have read it and understood it and i think that i will implement it soon in Delphi and Freepascal: Optimization of a Truck-drone in Tandem Delivery Network Using K-means and Genetic Algorithm https://upcommons.upc.edu/bitstream/handle/2117/88986/1929-8707-1-pb.pdf?sequence=1&isallowed=y More of my philosophy about automation and about intelligent automation and more of my thoughts.. "In recent decades, companies have used robotic process automation (RPA) as a way to streamline operations, reduce errors, and save money by automating routine business tasks, but now organizations are turning to intelligent automation to automate key business processes to boost revenues, operate more efficiently, and deliver exceptional customer experiences. Intelligent automation is a smarter version of RPA that makes use of machine learning, artificial intelligence (AI) and cognitive technologies such as natural language processing to handle more complex processes, guide better business decisions, and shed light on new opportunities." Read more here: https://www.computerworld.com/article/3680230/how-intelligent-automation-will-change-the-way-we-work.html And look in the following interesting article about how AI will create millions more Jobs than it Will destroy: https://singularityhub.com/2019/01/01/ai-will-create-millions-more-jobs-than-it-will-destroy-heres-how/ And following are some of the advantages of automation, read them carefully: 1. Automation is the key to the shorter workweek. Automation will allow the average number of working hours per week to continue to decline, thereby allowing greater leisure hours and a higher quality life. 2. Automation brings safer working conditions for the worker. Since there is less direct physical participation by the worker in the production process, there is less chance of personal injury to the worker. 3. Automated production results in lower prices and better products. It has been estimated that the cost to machine one unit of product by conventional general-purpose machine tools requiring human operators may be 100 times the cost of manufacturing the same unit using automated mass-production techniques. The electronics industry offers many examples of improvements in manufacturing technology that have significantly reduced costs while increasing product value (e.g., colour TV sets, stereo equipment, calculators, and computers). 4. The growth of the automation industry will itself provide employment opportunities. This has been especially true in the computer industry, as the companies in this industry have grown (IBM, Digital Equipment Corp., Honeywell, etc.), new jobs have been created. These new jobs include not only workers directly employed by these companies, but also computer programmers, systems engineers, and other needed to use and operate the computers. 5. Automation is the only means of increasing standard of living. Only through productivity increases brought about by new automated methods of production, it is possible to advance standard of living. Granting wage increases without a commensurate increase in productivity will results in inflation. To afford a better society, it is a must to increase productivity. And McKinsey estimates that AI(Artificial intelligence) may deliver an additional economic output of around US$13 trillion by 2030, increasing global GDP by about 1.2 % annually. This will mainly come from substitution of labour by automation and increased innovation in products and services. Read more here: https://www.europarl.europa.eu/RegData/etudes/BRIE/2019/637967/EPRS_BRI(2019)637967_EN.pdf And read the following so that to know how people have to adapt in Digital and AI literacy so that to be competitive: "Digital and AI literacy is of utmost importance to help Canadian businesses scale and compete internationally. Investing in widespread digital and AI literacy for the entire population will increase domestic demand for technology and technology jobs. A technologically literate population will create more data, which fuels AI and thus the data-driven economy as a whole. It is also necessary for workers to be able to upskill and re-skill in order to remain productive and competitive in an automated workforce. Canadian businesses that adopt AI technology will save from lower production costs, have increased output, and be able to invest more. Increased revenue from this domestic demand, as well as Canada's global reputation for responsible AI, will help Canadian businesses scale globally and compete on the international level. Canada has a promising future in the data-driven economy, and strategic choices by policymakers are necessary to ensure that Canadians can benefit from an ethical and thriving AI ecosystem." Read more here: Canada's Economic Future with Artificial Intelligence https://www.kroegerpolicyreview.com/post/canada-s-economic-future-with-artificial-intelligence And i invite you to read about the next revolution in the software industry that is called Machine programming in the following article: https://venturebeat.com/2021/06/18/ai-weekly-the-promise-and-limitations-of-machine-programming-tools/ And read my philosophy about quantum computers and about technology in my following thoughts in the following web link: https://groups.google.com/g/alt.culture.morocco/c/tQ0Cs6Nw1yc Thank you, Amine Moulay Ramdane. |
| Amine Moulay Ramdane <aminer68@gmail.com>: Dec 05 12:26PM -0800 Hello, More of my philosophy about technology and about Intel technology and more of my thoughts.. I am a white arab from Morocco, and i think i am smart since i have also invented many scalable algorithms and algorithms.. Intel says it will squeeze 1 trillion transistors onto a chip package by 2030 "Intel Corp. researchers this weekend revealed a number of technological innovations and concepts, including packaging improvements that could result in computer chips that are 10 times as powerful as today's most advanced silicon." Read more here: https://siliconangle.com/2022/12/04/intel-says-will-squeeze-1-trillion-transistors-onto-chip-package-2030/ More of my philosophy about the 12 memory channels of the new AMD Epyc Genoa CPU and more of my thoughts.. I am a white arab from Morocco, and i think i am smart since i have also invented many scalable algorithms and algorithms.. So as i am saying below, i think that so that to use 12 memory channels in parallel that supports it the new AMD Genoa CPU, the GMI-Wide mode must enlarge more and connects each CCD with more GMI links, so i think that it is what is doing AMD in its new 4 CCDs configuration, even with the cost optimized Epyc Genoa 9124 16 cores with 64 MB of L3 cache with 4 Core Complex Dies (CCDs), that costs around $1000 (Look at it here: https://www.tomshardware.com/reviews/amd-4th-gen-epyc-genoa-9654-9554-and-9374f-review-96-cores-zen-4-and-5nm-disrupt-the-data-center ), and as i am explaining more below that the Core Complex Dies (CCDs) connect to memory, I/O, and each other through the I/O Die (IOD) and each CCD connects to the IOD via a dedicated high-speed, or Global Memory Interconnect (GMI) link and the IOD also contains memory channels, PCIe Gen5 lanes, and Infinity Fabric links and all dies, or chiplets, interconnect with each other via AMD's Infinity Fabric Technology, and of course this will permit my new software project of Parallel C++ Conjugate Gradient Linear System Solver Library that scales very well to scale on the 12 memory channels, read my following thoughts so that to understand more about it: More of my philosophy about the new Zen 4 AMD Ryzen™ 9 7950X and more of my thoughts.. So i have just looked at the new Zen 4 AMD Ryzen™ 9 7950X CPU, and i invite you to look at it here: https://www.amd.com/en/products/cpu/amd-ryzen-9-7950x But notice carefully that the problem is with the number of supported memory channels, since it just support two memory channels, so it is not good, since for example my following Open source software project of Parallel C++ Conjugate Gradient Linear System Solver Library that scales very well is scaling around 8X on my 16 cores Intel Xeon with 2 NUMA nodes and with 8 memory channels, but it will not scale correctly on the new Zen 4 AMD Ryzen™ 9 7950X CPU with just 2 memory channels since it is also memory-bound, and here is my Powerful Open source software project of Parallel C++ Conjugate Gradient Linear System Solver Library that scales very well and i invite you to take carefully a look at it: https://sites.google.com/site/scalable68/scalable-parallel-c-conjugate-gradient-linear-system-solver-library So i advice you to buy an AMD Epyc CPU or an Intel Xeon CPU that supports 8 memory channels. --- And of course you can use the next Twelve DDR5 Memory Channels for Zen 4 AMD EPYC CPUs so that to scale more my above algorithm, and read about it here: https://www.tomshardware.com/news/amd-confirms-12-ddr5-memory-channels-on-genoa And here is the simulation program that uses the probabilistic mechanism that i have talked about and that prove to you that my algorithm of my Parallel C++ Conjugate Gradient Linear System Solver Library is scalable: If you look at my scalable parallel algorithm, it is dividing the each array of the matrix by 250 elements, and if you look carefully i am using two functions that consumes the greater part of all the CPU, it is the atsub() and asub(), and inside those functions i am using a probabilistic mechanism so that to render my algorithm scalable on NUMA architecture , and it also make it scale on the memory channels, what i am doing is scrambling the array parts using a probabilistic function and what i have noticed that this probabilistic mechanism is very efficient, to prove to you what i am saying , please look at the following simulation that i have done using a variable that contains the number of NUMA nodes, and what i have noticed that my simulation is giving almost a perfect scalability on NUMA architecture, for example let us give to the "NUMA_nodes" variable a value of 4, and to our array a value of 250, the simulation bellow will give a number of contention points of a quarter of the array, so if i am using 16 cores , in the worst case it will scale 4X throughput on NUMA architecture, because since i am using an array of 250 and there is a quarter of the array of contention points , so from the Amdahl's law this will give a scalability of almost 4X throughput on four NUMA nodes, and this will give almost a perfect scalability on more and more NUMA nodes, so my parallel algorithm is scalable on NUMA architecture and it also scale well on the memory channels, Here is the simulation that i have done, please run it and you will notice yourself that my parallel algorithm is scalable on NUMA architecture. Here it is: --- program test; uses math; var tab,tab1,tab2,tab3:array of integer; a,n1,k,i,n2,tmp,j,numa_nodes:integer; begin a:=250; Numa_nodes:=4; setlength(tab2,a); for i:=0 to a-1 do begin tab2:=i mod numa_nodes; end; setlength(tab,a); randomize; for k:=0 to a-1 do tab:=k; n2:=a-1; for k:=0 to a-1 do begin n1:=random(n2); tmp:=tab; tab:=tab[n1]; tab[n1]:=tmp; end; setlength(tab1,a); randomize; for k:=0 to a-1 do tab1:=k; n2:=a-1; for k:=0 to a-1 do begin n1:=random(n2); tmp:=tab1; tab1:=tab1[n1]; tab1[n1]:=tmp; end; for i:=0 to a-1 do if tab2[tab]=tab2[tab1] then begin inc(j); writeln('A contention at: ',i); end; writeln('Number of contention points: ',j); setlength(tab,0); setlength(tab1,0); setlength(tab2,0); end. --- More of my philosophy about 4 CCDs configuration of AMD Epyc Genoa CPU and more of my thoughts.. I have just read the following new paper about AMD 4th Gen EPYC 9004 Series, so i invite you to read it carefully: https://hothardware.com/reviews/amd-genoa-data-center-cpu-launch So read carefully the 4 CCDs configuration, so i am understanding the following from it: I/O DIE is what is connected to the memory channels externally, and it says that SKUs north of 4 CCDs (e.g. 32 cores) use the GMI3-Narrow configuration with a single GMI link per CCD. With 4 CCD and lower SKUs, AMD can implement GMI-Wide mode which joins each CCD to the IOD with two GMI links. In this case, one link of each CCD populates GMI0 to GMI3 while the other link of each CCD populates GMI8 to GMI11 as diagramed above. This helps these parts better balance against I/O demands. So i think that that AMD implemented in his new 4 CCDs configuration the GMI-Wide mode which joins each CCD to the IOD with two GMI links, so that to be connected to the 8 memory channels externally and use them in parallel, so i think that the problem is solved, since i think that the cost optimized Epyc Genoa 9124 16 cores with 64 MB of L3 cache with 4 Core Complex Dies (CCDs), that costs around $1000 (Look at it here: https://www.tomshardware.com/reviews/amd-4th-gen-epyc-genoa-9654-9554-and-9374f-review-96-cores-zen-4-and-5nm-disrupt-the-data-center ) can use fully the 8 memory channels in parallel, so it is a good Epyc Genoa processor to buy. And of course i invite you to read the following: More of my philosophy about the new Epyc Genoa and about Core Complex Die (CCD) and Core-complex(CCX) and more of my thoughts.. I have just looked at the following paper from AMD and i invite you to look at it: https://developer.amd.com/wp-content/resources/56827-1-0.pdf And as you notice above that you have to look at how many Core Complex Dies (CCDs) you have, since it tells you more about how many connections of Infinity Fabric you have, and it is an important information, since look at the following article about the new AMD Epyc Genoa: https://wccftech.com/amd-epyc-genoa-cpu-lineup-specs-benchmarks-leak-up-to-2-6x-faster-than-intel-xeon/ And read my philosophy about quantum computers and about technology in my following thoughts in the following web link: https://groups.google.com/g/alt.culture.morocco/c/tQ0Cs6Nw1yc And you can read much more of my thoughts about technology in the following web links: https://groups.google.com/g/alt.culture.morocco/c/MosH5fY4g_Y And here: https://groups.google.com/g/soc.culture.usa/c/N_UxX3OECX4 Thank you, Amine Moulay Ramdane. |
| You received this digest because you're subscribed to updates for this group. You can change your settings on the group membership page. To unsubscribe from this group and stop receiving emails from it send an email to comp.programming.threads+unsubscribe@googlegroups.com. |
No comments:
Post a Comment