Abstract—The multi-core revolution presents both opportuni-ties and challenges for real-time systems. Parallel computing can yield significant speedup for individual tasks (enabling shorter deadlines, or more computation within the same deadline), but unless managed carefully may add complexity and overhead that could potentially wreck real-time performance. There is little experience to date with the design and implementation of real-time systems that allow parallel tasks, yet the state of the art cannot progress without the construction of such systems. In this work we describe the design and implementation of a scheduler and runtime dispatcher for a new concurrency platform, RT-OpenMP, whose goal is the execution of real-time workloads w...
In recent years multiprocessor architectures have become mainstream, and multi-core processors are f...
Part 2: Parallel and Multi-Core TechnologiesInternational audienceWith the prevalence of virtualizat...
This paper proposes a global multiprocessor scheduling algorithm for the Linux kernel that combines...
We propose a scheduling method for real-time systems implemented on multicore platforms that encoura...
We propose a scheduling method for real-time systems implemented on multicore platforms that encoura...
In this chapter we consider the problem of scheduling real-time applications upon multiprocessors, o...
Abstract We propose a scheduling method for real-time systems im-plemented on multicore platforms th...
Multicore platforms have transformed parallelism into a main concern. Parallel programming models a...
Massively multi-core processors are rapidly gaining market share with major chip vendors offering an...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
High-level parallel languages offer a simple way for application programmers to specify parallelism ...
An evolution is happening in the way that operating systems support the real-time requirements of th...
Nested parallelism is a well-known parallelization strategy to exploit irregular parallelism in HPC ...
Computers across all domains increasingly rely on multiple processors/cores, with processors startin...
The development of networksand multi-processor computers has allowed us to solve problems in paralle...
In recent years multiprocessor architectures have become mainstream, and multi-core processors are f...
Part 2: Parallel and Multi-Core TechnologiesInternational audienceWith the prevalence of virtualizat...
This paper proposes a global multiprocessor scheduling algorithm for the Linux kernel that combines...
We propose a scheduling method for real-time systems implemented on multicore platforms that encoura...
We propose a scheduling method for real-time systems implemented on multicore platforms that encoura...
In this chapter we consider the problem of scheduling real-time applications upon multiprocessors, o...
Abstract We propose a scheduling method for real-time systems im-plemented on multicore platforms th...
Multicore platforms have transformed parallelism into a main concern. Parallel programming models a...
Massively multi-core processors are rapidly gaining market share with major chip vendors offering an...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
High-level parallel languages offer a simple way for application programmers to specify parallelism ...
An evolution is happening in the way that operating systems support the real-time requirements of th...
Nested parallelism is a well-known parallelization strategy to exploit irregular parallelism in HPC ...
Computers across all domains increasingly rely on multiple processors/cores, with processors startin...
The development of networksand multi-processor computers has allowed us to solve problems in paralle...
In recent years multiprocessor architectures have become mainstream, and multi-core processors are f...
Part 2: Parallel and Multi-Core TechnologiesInternational audienceWith the prevalence of virtualizat...
This paper proposes a global multiprocessor scheduling algorithm for the Linux kernel that combines...