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PIC24FJ16GA002 PARALLEL PROCESSING COMPUTER

PIC24FJ16GA002-based design A key characteristic for the deed of the antiparallel machine is that all MCUs screw to finish the idea in downright...

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Summary of PIC24FJ16GA002 PARALLEL PROCESSING COMPUTER

This article describes a parallel processing computer design using the PIC24FJ16GA002 microcontroller. The system employs multiple MCUs synchronized by a common clock to execute a summing tree algorithm. Communication between units utilizes internal UARTs, enabling complex network topologies like hypercubes despite reduced execution speed compared to symmetric connections.

Parts used in the Parallel Processing Computer:

  • PIC24FJ16GA002 Microcontroller
  • PORTA pins 0 and 1 (Data Input/Output)
  • PORTA pins 3 and 4 (Root Data Output)
  • Internal UART modules
  • Common Clock Source

PIC24FJ16GA002-based design A key characteristic for the deed of the antiparallel machine is that all MCUs screw to finish the idea in downright readjustment with each additional. This is achieved by using a vernacular foreign clock for all the... Electronics Projects, PIC24FJ16GA002 parallel processing computer "microchip projects, microcontroller projects,

PIC24FJ16GA002 PARALLEL PROCESSING COMPUTER

PIC24FJ16GA002-based design A key characteristic for the deed of the antiparallel machine is that all MCUs screw to finish the idea in downright readjustment with each additional. This is achieved by using a vernacular foreign clock for all the MCUs, and by forcing all MCUs to solon action at the homophonic period. This is something that is feasible with the PIC24FJxx sept.

The programm implments the summing tree algorithm. There are 5 variations: root, middle L, middle R, leaf L, leaf R. The data are input from the leafs PORTA 0,1 data are output from the root PORTA 0,1,3,4 MCUs use their inside UART for communication with each another. This inserts a enthusiastic decelerate in the executing of the algorithm as compared to symmetric connectedness, but the help is that it increases the connectivity between the MCUs making researchable the effort of networks equivalent the hypercube.

board 1

The succeeding illustration shows the block plot of the comparable computer (line that the connectedness material is not shown as it is baculiform by the mortal!)

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Source: PIC24FJ16GA002 PARALLEL PROCESSING COMPUTER

  • How is synchronization achieved between all MCUs?
    Synchronization is achieved by using a vernacular foreign clock for all MCUs and forcing them to act at the homophonic period.
  • What algorithm does the program implement?
    The program implements the summing tree algorithm.
  • What are the five variations of the algorithm nodes?
    The five variations are root, middle L, middle R, leaf L, and leaf R.
  • Where are the data inputs located on the MCUs?
    Data is input from the leafs PORTA 0 and 1.
  • Which ports are used for data output from the root?
    Data is output from the root using PORTA 0, 1, 3, and 4.
  • How do the MCUs communicate with each other?
    MCUs use their inside UART for communication with each another.
  • Does UART communication increase or decrease execution speed?
    UART communication inserts an enthusiastic decelerate in the executing of the algorithm as compared to symmetric connectedness.
  • What benefit does UART communication provide regarding connectivity?
    It increases the connectivity between the MCUs making researchable the effort of networks equivalent the hypercube.
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