Add to ORKGWe discuss how Resource Schedulers for Supercomputers can support Application Scheduling without degrading their own measures of performance. Initial results are presented and a proposal for future research is delineated.Pre-2018 CSE ID: CS1999-063
A major challenge in Metacomputing Systems (Computational Grids) is to effectively use their shared ...
Scheduling parallel applications on shared--memory multiprocessors is a difficult task that requires...
International audienceMulti-core systems are increasingly interesting candidates for executing paral...
Resource management and job scheduling is a crucial task on large-scale computing systems. Despite y...
ManuscriptAn attractive approach to scheduling applications with diverse CPU scheduling requirements...
Parallel application support is one of the ways that have been recently proposed for exploiting the ...
Nowadays a large number of scheduling algorithms for the use in distributed computing en-vironments....
In this paper we consider the problem of scheduling computational resources across a range of high-p...
Simultaneous multithreading (SMT) processors share most of the microarchitectural core components am...
Abstract As supercomputing resources become more available, users will require resources man-aged by...
Approximately five years ago scientists discovered that modern UNLX workstations connected with ethe...
As the demand for high-performance computing (HPC) resources has increased in the field of computati...
dsn,edp,tsp¤ Abstract. Scheduling parallel applications on shared–memory multiprocessors is a diffic...
An important issue in multiprogrammed multiprocessor systems is the scheduling of parallel jobs. Con...
Symbiotic job scheduling, i.e., scheduling applications that co-run well together on a core, can hav...
A major challenge in Metacomputing Systems (Computational Grids) is to effectively use their shared ...
Scheduling parallel applications on shared--memory multiprocessors is a difficult task that requires...
International audienceMulti-core systems are increasingly interesting candidates for executing paral...
Resource management and job scheduling is a crucial task on large-scale computing systems. Despite y...
ManuscriptAn attractive approach to scheduling applications with diverse CPU scheduling requirements...
Parallel application support is one of the ways that have been recently proposed for exploiting the ...
Nowadays a large number of scheduling algorithms for the use in distributed computing en-vironments....
In this paper we consider the problem of scheduling computational resources across a range of high-p...
Simultaneous multithreading (SMT) processors share most of the microarchitectural core components am...
Abstract As supercomputing resources become more available, users will require resources man-aged by...
Approximately five years ago scientists discovered that modern UNLX workstations connected with ethe...
As the demand for high-performance computing (HPC) resources has increased in the field of computati...
dsn,edp,tsp¤ Abstract. Scheduling parallel applications on shared–memory multiprocessors is a diffic...
An important issue in multiprogrammed multiprocessor systems is the scheduling of parallel jobs. Con...
Symbiotic job scheduling, i.e., scheduling applications that co-run well together on a core, can hav...
A major challenge in Metacomputing Systems (Computational Grids) is to effectively use their shared ...
Scheduling parallel applications on shared--memory multiprocessors is a difficult task that requires...
International audienceMulti-core systems are increasingly interesting candidates for executing paral...