An attempted build of Python-2.7.13 with GCC-8.2.0 led to an unexpected error where the build failed to generation of POSIX vars. This is kind of important and unsurprisingly, others on in the Python community have noticed it as well both this year, and in a directly related matter from late 2016, with a recommended patchfile provided on the Python-Dev mailing list.

Identifying probable dispersal routes and for marine populations is a data and processing intensive task of which traditional high performance computing systems are suitable, even for single-threaded applications. Whilst processing dependencies between the datasets exist, a large level of independence between sets allows for use of job arrays to significantly improve processing time. Identification of bottle-necks within the code base suitable for GPU optimisation however had led to additional performance improvements which can be coupled with the existing benefits from job arrays.

You would think with a website like laptop.com.au you would be sitting on a gold mine of opportunity. It would take real effort not to turn such a domain advantage into a real advantage, to become the country's specialist and expert provider of laptops. But alas, some effort is required in this regard and it involves what, in my considered opinion, is not doing the right thing. I leave you, gentle reader, to form your own opinion on the matter from the facts provided.

Over the past 33 years the International Super Computing conference in Germany has become one of the world's major computing events with the bi-annual announcement of the Top500 systems, which continues to be dominated in entirety by Linux systems. In June this year over 3,500 people attended ISC with a programme of tutorials, workshops and miniconferences, poster sessions, student competitions, a vast vendor hall, and numerous other events.

The use of cloud compute, especially in proportion to single-node tasks, provides a more effective allocation of financial resources. The introduction of cloud-bursting to scheduling systems could ideally provide on-demand compute resources for High Performance Computing (HPC) systems, where queue wait-times are a source of user consternation.

The development of the graphic user-interface is widely considered a major phenomenological contribution to the Human-Computer Interaction (HCI) by providing an intuitive framework for data storage and processing, encapsulated in the term "user friendly". Whilst for a very large number of everyday computational tasks this Windows-Icons-Menu-Pointer (WIMP) interface has been highly successful, the field of high performance computing (HPC) continues to use the command line interface.

The HPC community has always considered the training of new and existing HPC practitioners to be of high importance to its growth. The significance of training will increase even further in the era of Exascale when HPC encompasses even more scientic disciplines. This diversification of HPC practitioners challenges the traditional training approaches, which are not able to satisfy the specific needs of users, often coming from non-traditionally HPC disciplines and only interested in learning a particular set of skills.

The PDF file format can be efficiently manipulated in Linux and other free software that may not be easy in proprietary operating systems or applications.

MrTrix is "a set of tools to perform various types of diffusion MRI analyses, from various forms of tractography through to next-generation group-level analyses". It is mostly designed with post-processing visualisation in mind, but for intensive computational tasks it can make use of high-performance computing systems. It is not designed with messing-passing in mind, but it can be useful for job arrays.

A number of organisations use a customer service metric known as "Net Promoter", first suggested in the Harvard Business Review. Indeed, it is so common that apparently two-thirds of Fortune 500 companies are using the metric. It simply asks a single question: "How likely is it that you would recommend [company X] to a friend or colleague?".