{"id":7843,"date":"2024-06-03T06:06:47","date_gmt":"2024-06-03T06:06:47","guid":{"rendered":"http:\/\/escience.sdu.dk\/?post_type=news&p=7843"},"modified":"2024-06-03T06:06:47","modified_gmt":"2024-06-03T06:06:47","slug":"sdu-researcher-continues-to-secure-record-breaking-hpc-grants","status":"publish","type":"news","link":"http:\/\/escience.sdu.dk\/index.php\/news\/sdu-researcher-continues-to-secure-record-breaking-hpc-grants\/","title":{"rendered":"SDU researcher continues to secure record-breaking HPC grants"},"content":{"rendered":"\n

Image: LUMI data center in Kajaani, Finland. CSC<\/em><\/p>\n\n\n\n

Several acceptance letters for large HPC grants have recently landed in associate professor at the Department of Mathematics and Computer Science, Antonio Rago\u2019s, email inbox. Antonio Rago is part of several international research groups, whose innovative research seeks to uncover some of the big unanswered questions within the field of particle physics. In the last two years, they have secured a hugely impressive 483.000.000 CPU core hours and 1.634.000 GPU node hours. <\/p>\n\n\n\n

A tiny signal that explains a big problem <\/strong><\/h3>\n\n\n\n
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It is less than a year ago that we published an article<\/a> about Antonio Rago\u2019s massive EuroHPC grant of 120.000.000 CPU core hours on the LUMI<\/a> supercomputer. The grant is the largest that has ever been given for HPC not only to an SDU researcher, but to any researcher in Denmark.<\/p>\n\n\n\n

Already in November last year, the same group received some good news again: this time, the allocation was 130.000.000 CPU core hours on LUMI and, on top of this, 500.000 GPU node hours on another EuroHPC JU supercomputer, Leonardo<\/a>. Though Rago is not the PI of this project, he will still play a large role in the experiments that his group will conduct with this massive computing power. <\/p>\n\n\n\n

As with the previous grant, Rago and his group are seeking to uncover the mechanisms behind the unbalance in the universe between matter and anti-matter. Since the Big Bang, there has been a competition between matter and anti-matter. They were once equal in size, but some mechanism, which is still unknown to scientists, has resulted in an overwhelming victory of matter over anti-matter, leading to the universe that we know today, which contains comparatively little anti-matter. <\/p>\n\n\n\n

The task that Rago and his group have set themselves is daunting: gigantic simulations on large and complex supercomputers is required, and the precision must be extreme. The discrepancies between the predictions of the Standard Model of particle physics \u2013 a model which encapsulates the theories and discoveries of thousands of physicists since the 1930s[1]<\/sup><\/a> \u2013 and the experiments made in simulations by researchers are extremely small.<\/p>\n\n\n\n

\u201cThe Standard Model seems to be unbelievably good at describing the particles, and whatever we have made so far in the experiment matches, after a lot of calculation, what is predicted by the Standard Model. In the Standard Model, however, we have some corners that are working, but we don’t understand why. In this indetermination could be hidden stuff that is unknown. We need a tiny signal that explains a big problem,\u201d says Antonio Rago.   <\/p><\/blockquote>\n\n\n\n