Following are some of the points to consider while designing and developing solutions involving concurrent processing.

• Identify independent computations using techniques like task partitioning and data partitioning.

• Implement concurrency at the highest level possible.

• Don’t make any assumptions on the number of cores available i.e the solution should be able to scale with the number of cores.

• Use the best processing model; multiple processes or multiple threads to solve the issue.

• If using multiple processes is found to be well suited, associate individual locks to variables which are shared.

• If threads are best suited for the solution, identify thread safe libraries that can be used. Also use thread local storage when ever possible.

• Never assume a particular execution order of the code which is one of the criteria for concurrent processing.