Download e-book for kindle: Languages, compilers, and run-time environments for by J. Saltz, P. Mehrotra

By J. Saltz, P. Mehrotra

ISBN-10: 0444887121

ISBN-13: 9780444887122

Papers provided inside of this quantity disguise quite a lot of themes on the topic of programming allotted reminiscence machines. dispensed reminiscence architectures, even supposing having the capability to provide the very excessive degrees of functionality required to aid destiny computing wishes, current awkward programming difficulties. the key factor is to layout equipment which allow compilers to generate effective dispensed reminiscence courses from quite laptop self sustaining software requisites. This booklet is the compilation of papers describing quite a lot of examine efforts geared toward easing the duty of programming disbursed reminiscence machines

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Extra info for Languages, compilers, and run-time environments for distributed memory machines

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In contrast to the above situation, two dynamic arrays can be aligned to each other so that the alignment relationship remains valid throughout the execution of the program. This is done by providing a connect attribute in the declaration: it consists of the keyword C O N N E C T followed by a distribution expression based on the alignment functions as described earlier. For example, consider the following declarations: REAL A(100) D Y N A M I C D I S T ( B L O C K ) R E A L B(100), C(100) D Y N A M I C CONNECT ( =A ) Here, the arrays Β and C are declared to be connected to the array A via the identity alignment function.

Instead the compiler has the job of aligning the data and processes. This means that the programmer has to specify less, and has less control. Experience will show which approach is advantageous. The discussions of these models illustrates what we believe is the key dilemma in choosing the model of parallel computation and communication to use in a parallel programming language : the tradeoffs between ease of use (and re-use), expressiveness, and parallel efficiency. Ideally, one would like the model to be easy to use while still leading to efficiently executing parallel programs for a wide variety of data parallel algorithms.

As a second example, consider a simplified view of an algorithm for solving a system of η nonlinear equations in η unknowns, using finite difference Jacobian matrices. There are two basic and potentially expensive steps at each iteration : calculating the finite difference Jacobian matrix by performing η evaluations of the user-provided system of nonlinear equations (which are independent of one another and thus can be performed concurrently), and performing an LU decomposition of this matrix as discussed in the first example.

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Languages, compilers, and run-time environments for distributed memory machines by J. Saltz, P. Mehrotra

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