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Parallel Programming with Python
Parallel programming can be defined as a model that aims to create programs that are compatible with environments prepared to execute code instructions simultaneously. It has not been too long since techniques of parallelism began to be used to develop software. Some years ago, processors had a single Arithmetic Logic Unit (ALU) among other components, which could only execute one instruction at a time during a time space. For years, only a clock that measured in hertz to determine the number of instructions a processor could process within a given interval of time was taken into consideration. The more the number of clocks, the more the instructions potentially executed in terms of KHz (thousands of operations per second), MHz (millions of operations per second), and the current GHz (billions of operations per second).
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