Performance Modelling Techniques for Parallel Supercomputing Applications

Author:
Edition:
Binding: Paperback
ISBN: 1606922696

Performance Modelling Techniques for Parallel Supercomputing Applications (Computer Science, Technology and Applications)

Ever since the invention of the computer, users have demanded more and more computational power to tackle increasingly complex problems. Get Performance Modelling Techniques for Parallel Supercomputing Applications computer books for free.
A common means of increasing the amount of computational power available for solving a problem is to use parallel computing. Unfortunately, however, creating efficient parallel programs is notoriously difficult. In addition to all of the well-known problems that are associated with constructing a good serial algorithm, there are a number of problems specifically associated with constructing a good parallel algorithm. These mainly revolve around ensuring that all processors are kept busy and that they have timely access to the data that they require. Unfortunately, however, controlling a number of processors Check Performance Modelling Techniques for Parallel Supercomputing Applications our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

Performance Modelling Techniques for Parallel Supercomputing Applications Download

A common means of increasing the amount of computational power available for solving a problem is to use parallel computing. Unfortunately, however, creating efficient parallel programs is notoriously difficult. In addition to all of the well-known problems that are associated with constructing a good serial algorithm, there are a number of problems specifically associated with constructing a good parallel algorithm. These mainly revolve around ensuring that all processors are kept busy and that they have timely access to the data that they require common means of increasing the amount of computational power available for solving a problem is to use parallel computing. Unfortunately, however, creating efficient parallel programs is notoriously difficult. In addition to all of the well-known problems that are associated with constructing a good serial algorithm, there are a number of problems specifically associated with constructing a good parallel algorithm. These mainly revolve around ensuring that all processors are kept busy and that they have timely access to the data that they require. Unfortunately, however, controlling a number of processors

Related Computer Books