Add to ORKGDeveloping an efficient server-based real-time scheduling solution that supports dynamic task-level parallelism is now relevant to even the desktop and embedded domains and no longer only to the high performance computing market niche. This paper proposes a novel approach that combines the constant-bandwidth server 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...
In recent years multiprocessor architectures have become mainstream, and multi-core processors are f...
Emerging architecture designs include tens of processing cores on a single chip die; it is believed ...
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...
This paper proposes a dynamic scheduler that supports the coexistence of guaranteed and non-guarante...
High-level parallel languages offer a simple way for application programmers to specify parallelism ...
This paper proposes a global multiprocessor scheduling algorithm for the Linux kernel that combines...
Parallel I/O has become a necessity in the face of performance improvements in other areas of comput...
We propose a scheduling method for real-time systems implemented on multicore platforms that encoura...
The computation time of scalable tasks depends on the number of processors allocated to them in mult...
A dynamic scheduler that supports the coexistence of guaranteed and non-guaranteed bandwidth servers...
The Bandwidth Sharing Server (BSS) is a schedul-ing strategy for multi-task real-time applications t...
This paper proposes a fixed-priority partitioned scheduling algorithm for periodic tasks on multipro...
In recent years multiprocessor architectures have become mainstream, and multi-core processors are f...
Emerging architecture designs include tens of processing cores on a single chip die; it is believed ...
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...
This paper proposes a dynamic scheduler that supports the coexistence of guaranteed and non-guarante...
High-level parallel languages offer a simple way for application programmers to specify parallelism ...
This paper proposes a global multiprocessor scheduling algorithm for the Linux kernel that combines...
Parallel I/O has become a necessity in the face of performance improvements in other areas of comput...
We propose a scheduling method for real-time systems implemented on multicore platforms that encoura...
The computation time of scalable tasks depends on the number of processors allocated to them in mult...
A dynamic scheduler that supports the coexistence of guaranteed and non-guaranteed bandwidth servers...
The Bandwidth Sharing Server (BSS) is a schedul-ing strategy for multi-task real-time applications t...
This paper proposes a fixed-priority partitioned scheduling algorithm for periodic tasks on multipro...
In recent years multiprocessor architectures have become mainstream, and multi-core processors are f...
Emerging architecture designs include tens of processing cores on a single chip die; it is believed ...