![]() ![]() The matrix analysis functions det, rcond, hess, and expm also show significant increase in speed on large double-precision arrays. The matrix multiply (X*Y) and matrix power (X^p) operators show significant increase in speed on large double-precision arrays (on order of 10,000 elements). As a general rule, complicated functions speed up more than simple functions. All arrays in MATLAB are rectangular, in the sense that the component vectors along any dimension are all the same length. An array is, more generally, a vector, matrix, or higher dimensional grid of numbers. The operation is not memory-bound processing time is not dominated by memory access time. The MATLAB environment uses the term matrix to indicate a variable containing real or complex numbers arranged in a two-dimensional grid. For example, most functions speed up only when the array contains several thousand elements or more. And at the end of each itaration, I have to set a large array elements to zero. The data size is large enough so that any advantages of concurrent execution outweigh the time required to partition the data and manage separate execution threads. Hello all, I'm writing a for loop with a large number of iterations in it. They should require few sequential operations. ![]() ![]() These sections must be able to execute with little communication between processes. The function performs operations that easily partition into sections that execute concurrently. ![]()
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