12 Core Technologies
Nathan Coppedge2022
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Super core technologies X12.
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HPPC 2009 panel: are many-core computer vendors on track?
Euro-Par 2009Parallel …, 2010
The last session of the HPPC 2009 workshop was dedicated to a panel discussion between the invited speakers and three additional, selected panelists. The theme of the panel was originally suggested by Uzi Vishkin, and developed with the moderator. A preamble was ...
Manycore Platforms
River Publishers eBooks, 2022
This chapter surveys state-of-the-art manycore platforms. It discusses the historical evolution of computing platforms over the past decades and the technical hurdles that led to the manycore revolution, then presents in details several manycore platforms, outlining (i) the key architectural traits that enable scalability to several tens or hundreds of processing cores and (ii) the shared resources that are responsible for unpredictable timing.
Centers of Supercomputing—Science and Engineering at the texas a&M University Supercomputer Center
The International Journal of Supercomputing Applications, 1992
Multi-core: Adding a New Dimension to Computing
Cornell University - arXiv, 2010
Invention of Transistors in 1948 started a new era in technology, called Solid State Electronics. Since then, sustaining development and advancement in electronics and fabrication techniques has caused the devices to shrink in size and become smaller, paving the quest for increasing density and clock speed. That quest has suddenly come to a halt due to fundamental bounds applied by physical laws. But, demand for more and more computational power is still prevalent in the computing world. As a result, the microprocessor industry has started exploring the technology along a different dimension. Speed of a single work unit (CPU) is no longer the concern, rather increasing the number of independent processor cores packed in a single package has become the new concern. Such processors are commonly known as multi-core processors. Scaling the performance by using multiple cores has gained so much attention from the academia and the industry, that not only desktops, but also laptops, PDAs, cell phones and even embedded devices today contain these processors. In this paper, we explore state of the art technologies for multi-core processors and existing software tools to support parallelism. We also discuss present and future trend of research in this field. From our survey, we conclude that next few decades are going to be marked by the success of this "Ubiquitous parallel processing".
NSF Selects Supercomputer Centers
Science, 1985
Author describes military and special supercomputer centers and networks by example CT-2. Work on highly productive and promising SC with a globally addressable memory and multi-thread architecture is carried out within the framework of the CT-2 project. The eponymous supercomputer belongs to the class of strategic supercomputers. The code name used is CT-2 (full name Qin Tao-2)-this is the idiom in the Chinese name "The main project in the interests of special studies of military intelligence of the Ministry of Defense of China". Due to using of massive multi-thread streaming architecture increased tolerance to delays in performing operations with memory and the network, effectively support working with program models in the form of static graphs of data flows. Because of this, it will successfully cope with the processing in real time of multiple data streams and work effectively through a single address space with a huge memory capacity of several tens of petabytes, even in the mode of intensive irregular work with it, it will have exceptional fault tolerance and availability. The amount of available memory for the user program is 32PB, the physical memory is 64PB, which is done for hot standby. According to information received in 2011, the initially massive multi-thread microprocessor CT-2 with asynchronous threads for information systems has also become hybrid, it has enhanced numerical processing power-SIMD operations on short vectors have been introduced, as well as elements of modern graphic processors in the form of synchronous threads.
Composite cores: Pushing heterogeneity into a core
2012
Abstract Heterogeneous multicore systems���comprised of multiple cores with varying capabilities, performance, and energy characteristics���have emerged as a promising approach to increasing energy efficiency. Such systems reduce energy consumption by identifying phase changes in an application and migrating execution to the most efficient core that meets its current performance requirements.
Supersystems: Technology and Architecture
IEEE Transactions on Computers, 2000
Supersystems are general purpose computers achieving throughputs in excess of 1 billion instructions per second (BIPS). As such, supersystems present formidable design challenges in the areas of technology-and architecture. This paper examines three of the classical design options: high-speed monoprocessors, array processors, and distributed processors. The latter approach appears most desirable for supersystems, but will require improved interconnection networks.
Introducing core-based system design
IEEE Design & Test of Computers, 1997
IN RECENT YEARS, cores have captured the imagination of designers who understand the potential of using these cells like integrated circuits on a PC board in building on-chip systems. (See the "What is a core cell?" box.) With a rich cell library of predesigned, preverified circuit blocks, cores provide an attractive means to import technology to a system integrator and differentiate products by leveraging intellectual property advantages. Most importantly, core use shortens the time to market for new system designs through design reuse. Practical implementation of this design scenario, however, is fraught with unresolved issues: design methods for building single-chip systems, challenges in test and sign-off for these systems, and intellectual property licensing, protection, and liability. Here, we examine the evolving design flow for microelectronic systems, the market for core cells, and the challenges in using core cells for design, integration, assembly, and test of on-chip systems.
Coppedge, Nathan / Philosopher Artist Inventor Poet / 2022-12-23
12 CORE TECHNOLOGIES
“It may behoove you to investigate whether there is such a thing as logical immortality.”—Nathan
Coppedge
“It may behoove you to investigate whether paradise is a form of knowledge.” —Nathan Coppedge
“It may behoove you to investigate whether perpetual motion works.” —Nathan Coppedge
—The Good Devil Puzzle
Coppedge, Nathan / Philosopher Artist Inventor Poet / 2022-12-23
12 CORE TECHNOLOGIES
Ignoring disintegrals and infinites for now. Super core technologies X12.
…
(1) Efficiency + Difference (= TOE, Perpetual Motion, Function Spectrum)
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Min Results = (Max Eff / 2) + Diff
Max Results = Min Eff + Diff
Min Eff = Results - Diff
Max Eff = (Min Results - Diff) X 2
Min Difference = Results - Max Efficiency
Max Difference = Results - Min Efficiency
Over-Unity = ((Max Results - Min Results) / (Max Eff)) + Diff X 100 (%)
Proportion of Smaller Unit = 1X
(2) Difference - Efficiency (= Antitheory: Extremes, Entropy, Neutrals)
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Min Results = Diff - (Max Eff / 2)
Max Results = Diff - Min Eff
Min Eff = Diff - Results
Max Eff = (Diff - Min Results) X 2
Min Difference = Results + Max Efficiency
Max Difference = Results + Min Efficiency
Over-Unity = ((Max Results - Min Results) / -(Max Eff)) + Diff X 100 (%)
Proportion of Smaller Unit = 1X
(3) Results - Difference (= Efficiency: Immortality, Magic, Food/Drugs)
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Min Efficiency = (Max Results / 2) - Diff
Max Efficiency = Min Results - Diff
Min Results = Eff + Diff
Max Results = (Min Eff + Diff) X 2
- (Min Difference) = Eff - Max Results
- (Max Difference) = Eff - Min Results
Over-Unity = ((Max Eff - Min Eff) / (Max Results)) - Diff X 100 (%)
Proportion of Smaller Unit = 1X
(4) -Results + Difference (= Anti-Efficiency: Death, Anti-Magic, Starvation)
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•
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Min Efficiency = (- Max Results / 2) + Diff
Max Efficiency = (- Min Results) + Diff
- (Min Results) = Eff - Diff
- (Max Results) = (Min Eff - Diff) X 2
Min Difference = Eff + Max Results
Max Difference = Eff + Min Results
Over-Unity = ((Max Eff - Min Eff) / (- Max Results)) + Diff X 100 (%)
Proportion of Smaller Unit = 1X
Coppedge, Nathan / Philosopher Artist Inventor Poet / 2022-12-23
(5) Results – Efficiency (= Difference: Over-Unity, Unity, Zeroes)
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•
•
•
•
•
•
•
Min Difference = (- Max Eff / 2) + Results
Max Difference = (- Min Eff) + Results
- (Min Eff) = Difference - Results
- (Max Eff) = (Min Diff - Results) X 2
Min Results = Difference + Max Efficiency
Max Results = Difference + Min Efficiency
Over-Unity = ((Max Difference - Min Difference) / (- Max Eff)) + Results X 100 (%)
Proportion of Smaller Unit = 1X
(6) -Results + Efficiency (= Anti-Difference: Anti-Over-Unity, Anti-Unity, Anti-Zero)
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•
•
•
•
•
•
•
Min Difference = (Max Eff / 2) - Results
Max Difference = Min Eff - Results
Min Eff = Difference + Results
Max Eff = (Min Diff + Results) X 2
- (Min Results) = Difference - Max Efficiency
- (Max Results) = Difference - Min Efficiency
Over-Unity = ((Max Difference - Min Difference) / (Max Eff)) - Results X 100 (%)
Proportion of Smaller Unit = 1X
(7) #Antiforces + #Forces (= Dimensions: Simplicity, Complexity, Intermediate)
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Min Dimensions = (Forces / 2) + Antiforces
Max Dimensions = Min Forces + Antiforces
Min Forces = Dimensions - Antiforces
Max Forces = (Min Dimensions - Antiforces) X 2
Min Antiforces = Dimensions - Max Forces
Max Antiforces = Dimensions - Min Forces
Over-Unity = ((Max Dimensions - Min Dimensions) / (Max Forces)) + Antiforces X 100
(%)
• Proportion of Smaller Unit = 1X
(8) # Antiforces - # Forces (= Anti-Dimensions, same equations as Antiforce Dimensions, but nonoverlapping: Anti-Simplicity, Anti-Complexity, Anti-Intermediate)
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Min Dimensions = Antiforces - (Max Forces / 2)
Max Dimensions = Antiforces - Min Forces
Min Forces = Antiforces - Dimensions
Max Forces = (Antiforces - Min Dimensions) X 2
Min Antiforces = Dimensions + Max Forces
Max Antiforces = Dimensions + Min Forces
Over-Unity = ((Max Dimensions - Min Dimensions) / -(Max Forces)) + Antiforces X 100
(%)
Proportion of Smaller Unit = 1X
Coppedge, Nathan / Philosopher Artist Inventor Poet / 2022-12-23
(9) # Dimensions - #Antiforces (= Forces: Surfaces, Concealment, Matter)
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Min Forces = (Dimensions / 2) - Antiforces
Max Forces = Min Dimensions - Antiforces
Min Dimensions = Forces + Antiforces
Max Dimensions = (Min Forces + Antiforces) X 2
- (Min Antiforces) = Forces - Max Dimensions
- (Max Antiforces) = Forces - Min Dimensions
Over-Unity = ((Max Forces - Min Forces) / (Max Dimensions)) - Antiforces X 100 (%)
Proportion of Smaller Unit = 1X
(10) -#Dimensions + # Antiforces (= Negative Forces: Anti-Surface, Anti-Concealment, Anti-Matter)
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Min Forces = (- Dimensions / 2) + Antiforces
Max Forces = - (Min Dimensions) + Antiforces
- (Min Dimensions) = Forces - Antiforces
- (Max Dimensions) = (Min Forces - Antiforces) X 2
Min Antiforces = Forces + Max Dimensions
Max Antiforces = Forces + Min Dimensions
Over-Unity = ((Max Forces - Min Forces) / (- Max Dimensions)) + Antiforces X 100 (%)
Proportion of Smaller Unit = 1X
(11) # Dimensions - # Forces (= Antiforces: Height, Obviousness, Entities)
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•
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•
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Min Antiforces = (- Forces / 2) + Dimensions
Max Antiforces = - (Min Forces) + Dimensions
- (Min Forces) = Antiforces - Dimensions
- (Max Forces) = (Min Antiforces - Dimensions) X 2
Min Dimensions = Antiforces + Max Forces, note plus here is intentional
Max Dimensions = Antiforces + Min Forces, note plus here is intentional
Over-Unity = ((Max Antiforces - Min Antiforces) / - (Max Forces)) + Dimensions X 100
(%)
• Proportion of Smaller Unit = 1X
(12) -#Dimensions + #Forces (= Negative Antiforces: Depth Dimensions, Hidden Areas, Contingency)
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Min Antiforces = (Forces / 2) - (Dimensions), negative dimensions is intentional
Max Antiforces = Min Forces - (Dimensions), negative dimensions is intentional
Min Forces = Antiforces + (Dimensions), positive dimensions is intentional
Max Forces = (Min Antiforces + Dimensions) X 2, positive dimensions is intentional
- (Min Dimensions) = Antiforces - Max Forces, remember neg min dimensions
- (Max Dimensions) = Antiforces - Min Forces, remember neg max dimensions
Over-Unity = ((Max Antiforces - Min Antiforces) / (Max Forces)) - Dimensions X 100
(%), negative dimensions is intentional
Proportion of Smaller Unit = 1X
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AlgebraTechnologyFuturismComputer ProgrammingComputer and Information TechnologyGrand UnificationTheory of EverythingFuture TechnologiesAdvanced TechnologyCoherenceFree EnergyCoherentismCorrespondence TheoryPerpetual Motion MachinesNathan Coppedge (philosopher)coherence theory of truthAlgebraic equationsLean Data Innovation