parallel algorithm

It may also be made into a parallel algorithm in a straightforward way.

Eventually, we can implement a parallel algorithm for least squares based on the following results.

Efficient parallel algorithms are also known for the problem.

Research has also considered parallel algorithms for the minimum spanning tree problem.

He is known for his work in parallel programming and parallel algorithms.

Fast search, insertion, and deletion parallel algorithms are also known.

Some problems have no parallel algorithms, and are called inherently serial problems.

In parallel algorithms, yet another resource in addition to time and space is the number of computers.

Understanding data dependency is fundamental in implementing parallel algorithms.

There are many ways to measure the performance of a parallel algorithm running on a parallel processor.

Although trivial for a conventional computer, solving this problem by a parallel algorithm is complicated and has been the subject of much research.

This can be used to obtain a randomized parallel algorithm for the maximum matching problem.

Parallel algorithms need to optimize one more resource, the communication between different processors.

It is easy to write a parallel algorithm assuming:

Atallah's thesis work was on the subject of parallel algorithms, and he continued working in that area as a faculty member.

Sack's research interests include computational geometry, parallel algorithms, and geographic information systems.

Pseudoforests also play a key role in parallel algorithms for graph coloring and related problems.

Another problem with parallel algorithms is ensuring that they are suitably load balanced.

He also invented parallel algorithms to solve several shortest path and visibility problems.

Parallel algorithms are also known for finding strongly connected orientations of mixed graphs.

The parallel algorithm below illustrates how to merge multiple sets of statistics calculated online.

However, very few parallel algorithms achieve optimal speed-up.

He is, particularly, interested in parallel algorithms for DNA alignment and assembly.

He also provided a way of abstracting custom computing hardware from the process of creating parallel algorithms.

By running a parallel algorithm in this cluster the robots can cooperatively process the shared data and extract/detect the feature.