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3. Sources of parallelism and fundamental operations
3.1 Data parallelism
In data parallelism, the same operation is carried out simultaneously by several processors on different data. This definition covers two notions: the presence of data parallelism and the way in which this parallelism is exploited.
Let's take a simple example from linear algebra, and more specifically from matrix calculus. The addition of two matrices consists in adding all the elements of the same index of the two operand matrices and placing the result in the element of the same index of the result matrix. Here's the corresponding loop for operand matrices B and C and result matrix A :
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Sources of parallelism and fundamental operations
Parallelism in monoprocessors
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