Speaker
Description
The high-energy physics (HEP) community is preparing to address the computing challenges of the coming decade. The upgrade program of the Large Hadron Collider at CERN (HL-LHC) will generate an unprecedented volume and complexity of data, requiring advanced solutions for processing, analysis, archiving, and simulation. In parallel, other HEP experiments, such as DUNE, will enter their data-taking phase with novel workflows that demand substantial computing support. The recent update of the European Strategy for Particle Physics recommends a circular electron–positron collider (FCC-ee) at the TeV scale as the next flagship of the CERN scientific program following the HL-LHC. The community is assessing the computing landscape needed for the generation of HEP projects such as FCC-ee. This contribution provides an overview of the current state of the art in HEP computing, outlines the steps required to meet the HL-LHC computing challenges, and offers a forward-looking perspective on the post–HL-LHC era. It also highlights common computing challenges shared with other scientific domains and explores potential synergies.