| Talk | ||||||
| Title | Optimising the computational footprint in precision particle physics | |||||
| Video |
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| Author(s) | Skands, Peter (speaker) (Monash University (AU)) ; Preuss, Christian (speaker) (ETH Zürich) | |||||
| Corporate author(s) | CERN. Geneva | |||||
| Imprint | 2022-09-05. - 834. | |||||
| Series | (TH institutes) (Sustainable HEP - 2nd edition) | |||||
| Lecture note | on 2022-09-05T16:36:00 | |||||
| Subject category | TH institutes | |||||
| Abstract | During 2020, I was working on a grant proposal in precision particle physics, on so-called matching and merging strategies, for the widely used Pythia event generator. For complex processes, these types of calculations can be quite resource-intensive. That same summer, my home country of Australia had experienced catastrophic bush fires. It made me reconsider what I was doing, proposing calculations that would take immense computing resources to perform. I rewrote the grant with a central focus on reducing the computational footprint necessary to do these calculations - but still pushing the state of the art. The grant was awarded and we are now beginning to work in this direction. It was the first grant proposal I have written in which reduction of computational footprint in itself had been an explicit goal. | |||||
| Copyright/License | © 2022-2024 CERN | |||||
| Submitted by | [email protected] | |||||
Datensatz erzeugt am 2022-09-07, letzte Änderung am 2024-06-26
Talk details