Efficient Computing for High Energy Physics

Lead Research Organisation: University of Bristol
Department Name: Physics

Abstract

STFC science projects are highly data-intensive, and depend crucially on high performance software and computing, as well as on instruments and facilities. Software is used for: control and operation of experiments; filtering and data reduction; signal processing and reconstruction; statistical data analysis; and experiment simulation. The high-luminosity LHC upgrade (HL-LHC) in 2026, will require greater computing performance than any other current science facility. At present, there is no means of meeting HL-LHC computing requirements within a reasonable funding envelope. In particular, the use of current software with a ten times larger dataset will not scale, since the "Moore's Law" decrease of computing costs with time has effectively ceased due to our inability to efficiently use modern computing platforms. It is clear that this is an urgent issue that must be addressed promptly, while there is still time to put in place the required new technologies. We will engage with industry and train ourselves in new computing architectures. We will identify the parts of our millions of lines of code that will benefit most strongly from adaptation to these new methods.

Planned Impact

See lead document

Publications

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