Download Numerical Recipes in Fortran 90 by William H. Press, Saul A. Teukolsky, William T. Vetterling, PDF

By William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery, Michael Metcalf

The second one quantity of the Fortran Numerical Recipes sequence, Numerical Recipes in Fortran ninety features a unique advent to the Fortran ninety language and to the fundamental options of parallel programming, plus resource code for all exercises from the second one variation of Numerical Recipes. This quantity doesn't repeat any of the dialogue of what person courses truly do, the mathematical equipment they make the most of, or the right way to use them.

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Extra resources for Numerical Recipes in Fortran 90

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Some extensions of Fortran 90, like HPF, do implement MIMD features explicitly; but we will not consider these in this book. 5). Array Parallel Operations We have already met the most basic, and most important, parallel facility of Fortran 90, namely, the ability to use whole arrays in expressions and assignments, with the indicated operations being effected in parallel across the array. 1 Fortran 90 Data Parallelism: Arrays and Intrinsics Then, instead of the serial construction, do j=1,30 do k=1,30 c(j,k)=a(j,k)+b(j,k) end do end do which is of course perfectly valid Fortran 90 code, we can simply write c=a+b The compiler deduces from the declaration statement that a, b, and c are matrices, and what their bounding dimensions are.

We will not try to draw a fine definitional distinction between “data parallelism” and so-called SIMD (single instruction multiple data) programming. For our purposes the two terms mean about the same thing: The programmer writes a single operation, “+” say, and the compiler causes it to be carried out on multiple pieces of data in as parallel a manner as the underlying hardware allows. Any kind of parallel computing that is not SIMD is generally called MIMD (multiple instruction multiple data).

Allocated(x)) allocate(x(size(y))) The second way to implement this type of global storage (Method 2) uses a pointer: MODULE a REAL(SP), DIMENSION(:), POINTER :: x END MODULE a SUBROUTINE b(y) USE a REAL(SP), DIMENSION(:) :: y REAL(SP), DIMENSION(size(y)), TARGET :: xx ... x=>xx ... [other routines using x called here] ... END SUBROUTINE b Here the automatic array xx gets its temporary storage automatically on entry into b, and automatically gets deallocated on exit from b. 4] The global pointer x can access this storage in any routine with a USE a that is called by b.

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