Computers are going through a radical redesign process, leading to novel architectures with large numbers of small cores. Examples of such many-cores are Graphics Processing Units and the Intel Xeon Phi, which are used by about 65% of the top 50 fastest supercomputers. Many-cores can give spectacular performance results, but their programming model is totally different from traditional CPUs. It currently takes an unacceptable amount of time for application programmers to obtain sufficient performance on these devices. The key problem is the lack of methodology to easily develop efficient many-core kernels. We will therefore develop a programming methodology and compiler ecosystem that guide application developers to effectively write efficient scientiffc programs for many-cores, starting with a methodology and compiler that we have developed recently. We will apply this methodology to two highly diverse applications for which performance currently is key: Bioinformatics and Natural Language Processing (NLP). We will extend our compiler ecosystem to address the applications’ requirements in three directions: kernel fusion, distributed execution, and generation of human-readable target code. The project should provide applications and eScientists with a sound methodology and the relevant understanding to enable practical use of these game-changing manycores, boosting the performence of current and future programs.

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Commit2Data at ICT.OPEN 2022
After a hiatus caused by the worldwide COVID-19 pandemic, we finally had the option of meeting each other again at ICT.OPEN in Amsterdam. We, unfortunately, had to cancel our workshop 'Turn your science into reality on the first day....
14 April 2022
Project update: Designing Rhythms for Social Resilience
Designing Rhythms for Social Resilience (DRSR) is an interesting research project, where data science and social science come together. The research explores rhythm as a new methodology for policymaking, with the goal of strengthening the sharing of ...
15 March 2022
DATAREL: project update
The DATAREL project started in 2018 and includes several work packages, covering the whole process from data collection to concrete changes in logistics processes....
14 February 2022

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