; ; ; ; Updated in 2565 : on 2021 : 12 : 13 : Pipelining ;

   
 
         
    101 x 101 PE - LD  
    101 x 101 PE      
    101 x 101     LD PE
    this DOMAIN 's imaginary hyper space craft ...

I wrote: don't forget THAT 45 degree to "Pipelining" is called "parallel computing" ; Also see: Cloud Computing, doko WHERE Keywords are characteristics via words ... e.g. (AC, DC), (BE, FE), (LM, VM), ... ;

well trained kids! replied: we've already learnt THAT "Pipelining Computing" has been since 1980s, if compare to "Cloud Computing" has been since 2000, and Idea Processor based computing is NOT officially yet as of 2020s, and can you please teach us HOW Idea Processor Computing sir ?

I wrote: Idea Processor is beyond GPS, and do you realize and understand 2 (1 mm ones) gravity spots are embedded As Device 1st; prior to GPS was Translator and to be able to do translation (multiple Language Codes), we've to define good words in Dictionary As Index 2nd; And Then, Calculator, Dictionary, Translator, GPS, ... As Induction Logic (also see: philosophy) 3rd;

I've a quiz i.e. HOW will you design and model GDC (Gravity Dimension Computer) ? WHAT kind of tools would you like to use ?

well trained kids! replied: we'll be using iroLED, Optics, Sizes of Gravity Spot, surfaces ( NCS, PCS, ZCS), ... sir ;

I wrote: mochiron of course;

A basic Time-oriented instruction-fetching pipelining-method is shown; but, there are many other ways of methods such as Pipe-oriented, Frequency-oriented, Material-oriented, and ...; Pipelining enhances more throughput gain, and faster processing speed gain; Notice the 2 dimensional Time/Pipe pipelining. SiO2 based technology limits 2 dimensions only. Optical computing (also see: Optics) in the future will compute more than 2 dimensions. In traditional SiO2 based technology, even though numbers of pipes can be increased to achieve more throughput gain, but more numbers of pipes make very difficult human un-understandable complexity to code. Also see: Driver-to-load ratio;

For systems experts only: before developing optical computing, calculate through put gain in Time/Pipe while multitasking; where through put gain = more numbers of executed tasks ;

                   Time1    Time2    Time3    Time4    Time5    Time6    Time7    Time8    TimeN-1    Time N

Pipe #1:    Task1    Task1   

Pipe #1:    Task0    Task0    Task2    Task2    Task2    Task4    Task4

Pipe #2:    Task2    Task2    Task2    Task2    Task2    Task2    Task2

Pipe #3:    Task3    Task3    Task3

Pipe #3:    Task0    Task0    Task0    Task4    Task4    Task4    Task4

Pipe #4:    Task4    Task4    Task4    Task4    Task4    Task4    Task4    Task4

Pipe #5:    Task5    Task5    Task5    Task5   

Pipe #5:    Task0    Task0    Task0    Task0    Task6    Task6

Pipe #6:    Task6    Task6    Task6    Task6    Task6    Task6

                    TaskN-1

                    Task N

point-to-point; Point to point; e.g.

point-to-point;
point-to-point;
point-to-point;
point-to-point;
pointokarapointoe Point-to-point; Also see: IoT; Physics Law 198; Pipelining; Protocol and Port; Router;

    

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