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  • 10 min read

Pythonic Parallel Processing for HPC: Your Gauss is as good as mine

There are many strategies and tools for improving the performance of Python code, for a comprehensive treatment see High Performance Python by Gorelick and Ozsvald (institutional access is available to QM staff). However, there are some subtleties when using them in an HPC environment. More bluntly, requesting processor cores does not automatically mean your code will use them effectively, and that cannot happen if it doesn't know how many of them there are!

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  • 12 min read

Intel Inspector 2022.2 on Apocrita

As the complexity of HPC applications increases, the management of memory and threading scopes becomes increasingly important. Tools like Intel Inspector are crucial in this context, to effectively identify and resolve a wide array of memory errors and thread synchronisation issues.

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  • 2 min read

RSE team activities up to June 2022

The RSE team in ITS Research has had a busy few years since we started sharing our work in this blog. In this post we look at some highlights of recent activity and what we have to look forward to.

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  • 13 min read

Assessing code quality with the NAG Fortran compiler

The NAG Fortran compiler, like other compilers, has diagnostic capabilities which can help us write correct and portable Fortran programs. In this post we'll look at these, comparing with those of the GCC and Intel compilers, and see how the compiler can be a valuable tool when developing or maintaining Fortran code.

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  • 2 min read

Introducing Sherman Lo, RSE

Hello! I am Sherman and I have just joined the RSE team at Queen Mary. Glad to meet you all!

My background is in computational statistics and machine learning. I have completed projects in rainfall prediction, defect detection for 3D printing and Markov chains using Monte Carlo. These projects involved collaboration with various scientists, such as meteorologists, engineers and statisticians.

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  • 5 min read

One year of code review club with the William Harvey Research Institute

Over the past year, researchers from QMUL's William Harvey Research Institute (WHRI) have engaged on a collaborative code review club. Through this collaborative effort the group aims to peer review the computational components of their research and provide code quality assurance to all involved researchers. Additionally, the Research Software Engineering group of ITS Research has been assisting the group with knowledge transfer and by participating in the review process.

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  • 5 min read

Comparison of Python Distributions on Apocrita

When it comes to picking a distribution, Python programmers are spoilt for choice. We're going to compare two of the most popular (CPython and Anaconda) and one that promises big performance improvements with relatively little hassle (Intel Distribution for Python).