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A more convenient way is to access the 2D pixel arrays using parallel interfacing with row and column positions.
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This chapter deals with two widely used parallel interfaces: the Centronics parallel port and the IEEE-488 bus (or GPIB).
The implementation of algorithms is focused on multiprocessor systems using parallel computing interfaces and frameworks like MPI, OpenMP, OpenCL, etc.
The matrix and fibres were constructed using disc particles bonded together using parallel bonds, while the fibre/matrix interfaces were represented by a displacement-softening model.
We have shown that using parallel processing methods (Message Passing Interface), the efficiency may be increased over 90% using more than 10 CPUs or by using a few cores on a single CPU [ 18].
The very fast angle-measurement is performed using parallel analog signal processing, 24 MHz finite state machine with dedicated peripherals and an 8 Mbit/s SPI interface.
The interfacing of a microcomputer to almost any I/O system has been shown to be simple and flexible, using parallel and serial I/O devices.
Currently, research is in progress on potential methods of decreasing the calculation time further using parallel-processing message-passing interfaces in the forward-projection, where the simulation can be performed in parallel on multiple central processing units (CPUs).
OpenMP is among the most widely used parallel programming application programming interfaces (APIs) and is largely directive based, making it one of the most accessible parallel programming APIs available.
A detailed performance comparison of the model is made with a widely used parallel programming tool, namely Message Passing Interface (MPI).
We undertook integrated genomic analyses of both non-coding and coding transcripts using massively parallel sequencing and interfaced this data with pan-genomic analyses of hypoxia-inducible factor (HIF) and RNApol2 binding in hypoxic cells.
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