At the Large Hadron Collider of CERN in Geneva particles such as protons are smashed onto each other at the highest man-made energies ever. Despite being gigantic in size, custom-designed detectors are capable of recording billions of such collisions with high accuracy. To accompany these measurements, predictions of highest precision are required, for some of which it took the theory community more than 20 years to develop the necessary methods and techniques. We explain how these CPU intensive calculations have been adapted to run efficiently on the computing resources available within the bwHPC project and present the required tools and infrastructure we developed for this purpose
HEP-Frame is a new C++ package designed to efficiently perform analyses of datasets from a very larg...
International research collaborations will be using accelerators in the U.S. and Europe to produce a...
Machine Learning (ML) techniques in the High-Energy Physics (HEP) domain are ubiquitous and will pla...
The needs of experimental high-energy physics for large-scale computing and data handling are explai...
Abstract High Energy Physics Experiments (HEP experiments in the following) have been at least in th...
With the ever-growing amount of data collected with the experiments at the Large Hadron Collider (L...
I give an overview ofexisting statistical software for high energy physics and present a proposal fo...
The Compressed Baryonic Matter experiment (CBM) is a next-generation heavy-ion experiment to be oper...
This thesis presents improvements of the processing speed of HEP applications by making better use o...
The Offline Computing system must allow the LHCb physicists to perform an efficient processing of th...
AbstractI present a very personalized journey through more than three decades of computing for exper...
In recent years, there was a growing interest in improving the utilization of supercomputers by runn...
Software parallelization allows an efficient use of available computing power to in- crease the perf...
Abstract. Data acquisition in High Energy Physics processes data from particle interactions in colli...
High energy particle collider experiments are facing ever more challenging conditions, operating at...
HEP-Frame is a new C++ package designed to efficiently perform analyses of datasets from a very larg...
International research collaborations will be using accelerators in the U.S. and Europe to produce a...
Machine Learning (ML) techniques in the High-Energy Physics (HEP) domain are ubiquitous and will pla...
The needs of experimental high-energy physics for large-scale computing and data handling are explai...
Abstract High Energy Physics Experiments (HEP experiments in the following) have been at least in th...
With the ever-growing amount of data collected with the experiments at the Large Hadron Collider (L...
I give an overview ofexisting statistical software for high energy physics and present a proposal fo...
The Compressed Baryonic Matter experiment (CBM) is a next-generation heavy-ion experiment to be oper...
This thesis presents improvements of the processing speed of HEP applications by making better use o...
The Offline Computing system must allow the LHCb physicists to perform an efficient processing of th...
AbstractI present a very personalized journey through more than three decades of computing for exper...
In recent years, there was a growing interest in improving the utilization of supercomputers by runn...
Software parallelization allows an efficient use of available computing power to in- crease the perf...
Abstract. Data acquisition in High Energy Physics processes data from particle interactions in colli...
High energy particle collider experiments are facing ever more challenging conditions, operating at...
HEP-Frame is a new C++ package designed to efficiently perform analyses of datasets from a very larg...
International research collaborations will be using accelerators in the U.S. and Europe to produce a...
Machine Learning (ML) techniques in the High-Energy Physics (HEP) domain are ubiquitous and will pla...