CxC: C for Parallel ComputingMartin Heller
To do this we will use an algorithmic pattern that arises often in parallel computing: balanced trees. The idea is to build a balanced binary tree on the input data and sweep it to and from the root to compute the prefix sum. A binary tree with n leaves has d = log2 n levels...
Increase in parallel speedup with the addition of more resources. Prerequisites To run the examples on this page, you must have a Parallel Computing Toolbox™ license. To determine whether you have Parallel Computing Toolbox installed, and whether your machine can create a default parallel pool,...
First of all, parallel computing requires the use of a specific programming paradigm to perform single large-scale computing tasks or to run certain applications. In contrast, Cloud computing needs to provide tens of millions of different types of applications with a high-quality service environment...
Parallel Computing Toolbox™ can support parallel pools with up to 2000 workers. When you create a parallel pool, the values of theNumWorkersandPreferredPoolNumWorkerscluster object properties affect the size of the parallel pool you get. ...
This is the second post in theStandard Parallel Programmingseries, about the advantages of using parallelism in standard languages for accelerated computing. Developing Accelerated Code with Standard Language Parallelism Multi-GPU Programming with Standard Parallel C++, Part 2 ...
For correct execution, the value oftin statement S3 is not, in general, the value ofton the final iteration of the loop. It is in fact the last iteration for which the condition C1 is true. Computing the final value oftis quite hard in the general cases. In cases like this the compile...
Computing tasks Using the build-in algorithm factory:sort_task User-defined computing task:matrix_multiply Use computing task in a simple way: go task Asynchronous File IO tasks Http server with file IO:http_file_server User-defined protocol ...
Your best bet is to look elsewhere in your program for opportunities for parallelism or to analyze your algorithm and see if it matches some of the advanced parallel patterns that occur in scientific computing. Parallel scan and parallel dynamic programming are examples of these patterns....
This example demonstrates computing the sum of some random numbers in parallel: #include <thrust/host_vector.h> #include <thrust/device_vector.h> #include <thrust/generate.h> #include <thrust/reduce.h> #include <thrust/functional.h> #include <thrust/random.h> int main() { // Generate ra...