High Energy Physics experiments have successfully demonstrated that many-core devices such as GPUs can be used to accelerate critical algorithms in their software. There is now increasing community interest for many-core devices to be made available on the LHC Computing Grid infrastructure. Despite anticipated usage there is no standard method available to run many-core applications in distributed computing environments and before many-core resources are made available on the Grid a number of operational issues such as job scheduling and resource discovery will need to be addressed. The key challenges for Grid-enabling many-core devices will be discussed
The mission of the Worldwide LHC Computing Grid (LCG) project is to build and maintain a data storag...
A relevant part of the High Energy Physics research of the next 15 years will be performed at the CE...
The demand for computing resources used for detector simulations and data analysis in HighEnergy Phy...
This paper describes how the London e-Science Centre cluster MARS, a production 400+ Opteron CPU clu...
After the successful first run of the LHC, data taking is scheduled to restart in Summer 2015 with e...
Supervisor: Dr. Michela Becchi.Includes vita.Over the last decade, many-core Graphics Processing Uni...
The challenge of CERN experiments at the Large Hadron Collider (LHC), which will collect data at rat...
Commodity hardware is going many-core. We might soon not be able to satisfy the job memory needs per...
Today's global communities of users expect quality of service from distributed Grid systems equivale...
Computing has moved away from a focus on performance-centric serial computation, instead towards ene...
Many-Task Computing (MTC) is a common scenario for multiple parallel systems, such as cluster, grids...
The Queen Mary University of London WLCG Tier-2 Grid site has been providing GPU resources on the Gr...
The increasing demand of processing a higher number of applications and related data on computing pl...
Abstract—Current software and hardware limitations prevent ManyTask Computing (MTC) from leveraging ...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
The mission of the Worldwide LHC Computing Grid (LCG) project is to build and maintain a data storag...
A relevant part of the High Energy Physics research of the next 15 years will be performed at the CE...
The demand for computing resources used for detector simulations and data analysis in HighEnergy Phy...
This paper describes how the London e-Science Centre cluster MARS, a production 400+ Opteron CPU clu...
After the successful first run of the LHC, data taking is scheduled to restart in Summer 2015 with e...
Supervisor: Dr. Michela Becchi.Includes vita.Over the last decade, many-core Graphics Processing Uni...
The challenge of CERN experiments at the Large Hadron Collider (LHC), which will collect data at rat...
Commodity hardware is going many-core. We might soon not be able to satisfy the job memory needs per...
Today's global communities of users expect quality of service from distributed Grid systems equivale...
Computing has moved away from a focus on performance-centric serial computation, instead towards ene...
Many-Task Computing (MTC) is a common scenario for multiple parallel systems, such as cluster, grids...
The Queen Mary University of London WLCG Tier-2 Grid site has been providing GPU resources on the Gr...
The increasing demand of processing a higher number of applications and related data on computing pl...
Abstract—Current software and hardware limitations prevent ManyTask Computing (MTC) from leveraging ...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
The mission of the Worldwide LHC Computing Grid (LCG) project is to build and maintain a data storag...
A relevant part of the High Energy Physics research of the next 15 years will be performed at the CE...
The demand for computing resources used for detector simulations and data analysis in HighEnergy Phy...