Parallel machines with multi-core nodes are becoming increasingly popular. The performances of applications running on these machines are improved gradually due to the resource competition in each node. Researches have found that coscheduling different applications with complementary resource characteristics on the same set of nodes (semi time sharing) may improve the performance. We propose a scheduling algorithm G-LOMARC-TS which incorporates both space and semi time sharing scheduling methods and matches groups of jobs if possible for coscheduling. Since matchmaking may select jobs further down the waiting queue and the jobs in front of the queue may be delayed subsequently, fairness for each individual job will be watched and the delay ...
In recent years, a significant amount of research has been done on job scheduling in high performanc...
In parallel computing, jobs have different runtimes and required computation resources. With runtime...
In systems consisting of multiple clusters of processors which employ space sharing for scheduling j...
Parallel machines with multi-core nodes are becoming increasingly popular. The performances of appli...
Abstract. Multi-core nodes of parallel machines may only provide gradual performance improvement per...
Parallel job scheduling on cluster computers involves the usage of several strategies to maximize bo...
Job scheduling for parallel processing typically makes scheduling decisions on a per job basis due t...
Parallel jobs have different runtimes and numbers of threads/processes. Thus, scheduling parallel jo...
Coscheduling is a technique used to improve the performance of parallel computer applications under ...
As part of the Massively Parallel Computing Initiative (MPCI) at the Lawrence Livermore National Lab...
In systems consisting of multiple clusters of processors which employ space sharing for scheduling j...
Abstract—We study the problem of scheduling in parallel systems with many users. We analyze scenario...
Les rapports de recherche du LIG - ISSN: 2105-0422Today, most available parallel environments suppor...
It is common that multiple cores reside on the same chip and share the on-chip cache. As a result, r...
Time adaptation is very significant for parallel jobs running on a parallel centralized or distribut...
In recent years, a significant amount of research has been done on job scheduling in high performanc...
In parallel computing, jobs have different runtimes and required computation resources. With runtime...
In systems consisting of multiple clusters of processors which employ space sharing for scheduling j...
Parallel machines with multi-core nodes are becoming increasingly popular. The performances of appli...
Abstract. Multi-core nodes of parallel machines may only provide gradual performance improvement per...
Parallel job scheduling on cluster computers involves the usage of several strategies to maximize bo...
Job scheduling for parallel processing typically makes scheduling decisions on a per job basis due t...
Parallel jobs have different runtimes and numbers of threads/processes. Thus, scheduling parallel jo...
Coscheduling is a technique used to improve the performance of parallel computer applications under ...
As part of the Massively Parallel Computing Initiative (MPCI) at the Lawrence Livermore National Lab...
In systems consisting of multiple clusters of processors which employ space sharing for scheduling j...
Abstract—We study the problem of scheduling in parallel systems with many users. We analyze scenario...
Les rapports de recherche du LIG - ISSN: 2105-0422Today, most available parallel environments suppor...
It is common that multiple cores reside on the same chip and share the on-chip cache. As a result, r...
Time adaptation is very significant for parallel jobs running on a parallel centralized or distribut...
In recent years, a significant amount of research has been done on job scheduling in high performanc...
In parallel computing, jobs have different runtimes and required computation resources. With runtime...
In systems consisting of multiple clusters of processors which employ space sharing for scheduling j...