Developing an efficient server-based real-time scheduling solution that supports dynamic task-level parallelism is now relevant to even the desktop andembedded domains and no longer only to the high performance computing market niche. This paper proposes a novel approach that combines the constantbandwidthserver abstraction with a work-stealing load balancing scheme which, while ensuring isolation among tasks, enables a task to be executed on more than one processor at a given time instant
This paper proposes a fixed-priority partitioned scheduling algorithm for periodic tasks on multipro...
A dynamic scheduler that supports the coexistence of guaranteed and non-guaranteed bandwidth servers...
In this paper, we will investigate two complementary computational models that have been proposed re...
Developing an efficient server-based real-time scheduling solution that supports dynamic task-level ...
Multicore platforms have transformed parallelism into a main concern. Parallel programming models a...
Developing an efficient server-based real-time scheduling solution that supports dynamic task-level...
Computers across all domains increasingly rely on multiple processors/cores, with processors startin...
High-level parallel languages offer a simple way for application programmers to specify parallelism ...
This paper proposes a dynamic scheduler that supports the coexistence of guaranteed and non-guarante...
We propose a scheduling method for real-time systems implemented on multicore platforms that encoura...
This paper proposes a global multiprocessor scheduling algorithm for the Linux kernel that combines...
The computation time of scalable tasks depends on the number of processors allocated to them in mult...
Parallel I/O has become a necessity in the face of performance improvements in other areas of comput...
An important issue in multiprogrammed multiprocessor systems is the scheduling of parallel jobs. Con...
Emerging architecture designs include tens of processing cores on a single chip die; it is believed ...
This paper proposes a fixed-priority partitioned scheduling algorithm for periodic tasks on multipro...
A dynamic scheduler that supports the coexistence of guaranteed and non-guaranteed bandwidth servers...
In this paper, we will investigate two complementary computational models that have been proposed re...
Developing an efficient server-based real-time scheduling solution that supports dynamic task-level ...
Multicore platforms have transformed parallelism into a main concern. Parallel programming models a...
Developing an efficient server-based real-time scheduling solution that supports dynamic task-level...
Computers across all domains increasingly rely on multiple processors/cores, with processors startin...
High-level parallel languages offer a simple way for application programmers to specify parallelism ...
This paper proposes a dynamic scheduler that supports the coexistence of guaranteed and non-guarante...
We propose a scheduling method for real-time systems implemented on multicore platforms that encoura...
This paper proposes a global multiprocessor scheduling algorithm for the Linux kernel that combines...
The computation time of scalable tasks depends on the number of processors allocated to them in mult...
Parallel I/O has become a necessity in the face of performance improvements in other areas of comput...
An important issue in multiprogrammed multiprocessor systems is the scheduling of parallel jobs. Con...
Emerging architecture designs include tens of processing cores on a single chip die; it is believed ...
This paper proposes a fixed-priority partitioned scheduling algorithm for periodic tasks on multipro...
A dynamic scheduler that supports the coexistence of guaranteed and non-guaranteed bandwidth servers...
In this paper, we will investigate two complementary computational models that have been proposed re...