Add to ORKGWe present in this paper a Work Stealing lightweight PYTHON simulator. Our simulator is used to execute an application (list of tasks with or without dependencies), on a multiple processors platform linked by specific topology. We first give an overview of the different variants of the work stealing algorithm, then we present the architecture of our light Work Stealing simulator. Its architecture facilitates the development of other types of applications and other topologies for interconnecting the processors. We present the use cases of the simulator and the different types of results
Today, high performance computing platforms (HPC) are experiencing rapid and significant development...
This paper studies the data locality of the work-stealing scheduling algorithm on hardware-controlle...
Work-stealing is a promising approach for effectively exploiting software parallelism on parallel ha...
We present in this paper a Work Stealing lightweight PYTHON simulator. Our simulator is used to exec...
International audienceWe study the impact of communication latency on the classical Work Stealing lo...
This paper investigates a variant of the work-stealing algorithm that we call the localized work-ste...
Large-scale heterogeneous distributed computing environments (such as Computational Grids and Clouds...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
In this paper, we consider a generic model of computational grids, seen as several clusters of homog...
Blumofe and Leiserson [6] gave the first provably good work-stealing work scheduler for mul-tithread...
Load balancing is a technique which allows efficient parallelization of irregular workloads, and a k...
In this paper we analyse a very simple dynamic work-stealing algorithm. In the work-generation model...
Anticipating the behavior of applications, studying, and designing algorithms are some of the most i...
This thesis presents a study of work stealing based techniques of parallel programming for modern sh...
The fork-join paradigm of concurrent expression has gained popularity in conjunction with work-steal...
Today, high performance computing platforms (HPC) are experiencing rapid and significant development...
This paper studies the data locality of the work-stealing scheduling algorithm on hardware-controlle...
Work-stealing is a promising approach for effectively exploiting software parallelism on parallel ha...
We present in this paper a Work Stealing lightweight PYTHON simulator. Our simulator is used to exec...
International audienceWe study the impact of communication latency on the classical Work Stealing lo...
This paper investigates a variant of the work-stealing algorithm that we call the localized work-ste...
Large-scale heterogeneous distributed computing environments (such as Computational Grids and Clouds...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
In this paper, we consider a generic model of computational grids, seen as several clusters of homog...
Blumofe and Leiserson [6] gave the first provably good work-stealing work scheduler for mul-tithread...
Load balancing is a technique which allows efficient parallelization of irregular workloads, and a k...
In this paper we analyse a very simple dynamic work-stealing algorithm. In the work-generation model...
Anticipating the behavior of applications, studying, and designing algorithms are some of the most i...
This thesis presents a study of work stealing based techniques of parallel programming for modern sh...
The fork-join paradigm of concurrent expression has gained popularity in conjunction with work-steal...
Today, high performance computing platforms (HPC) are experiencing rapid and significant development...
This paper studies the data locality of the work-stealing scheduling algorithm on hardware-controlle...
Work-stealing is a promising approach for effectively exploiting software parallelism on parallel ha...