It is currently very difficult to purchase any form of computer system be it, notebook, laptop, desktop server or high performance computing system that does not contain a multicore processor. Yet the designers of applications, in general, have very little experience and knowledge of how to exploit this capability. Recently, the Scottish Informatics and Computer Science Alliance (SICSA) issued a challenge to investigate the ability of developers to parallelise a simple Concordance algorithm. Ongoing work had also shown that the use of multicore processors for applications that have internal parallelism is not as straightforward as might be imagined. Two applications are considered: calculating pi using Monte Carlo methods and the SICSA Concordance application. The ease with which parallelism can be extracted from a single application using both single multicore processors and distributed networks of such multicore processors is investigated. It is shown that naive application of parallel programming techniques does not produce the desired results and that considerable care has to be taken if multicore systems are to result in improved performance. Meanwhile the use of distributed systems tends to produce more predictable and reasonable benefits resulting from parallelisation of applications.