In this chapter, we discuss some key aspects related to the reorganization process of these platforms and present in detail a recent literature approach exactly tackling this issue. The presentation is also targeted at showing how the approach, which is based on the symmetric multithreading software programming paradigm, can be suited for a change in the perspective on how to exploit computing resources for PDES applications in a balanced and effective manner. This is achieved via an innovative load-sharing paradigm suited for PDES systems run on top of multicore machines
Multicomputer systems based on message passing draw attractions in the field of high performance co...
Efficient parallel computing on distributed platforms still presents many obstacles. This paper addr...
The contribution introduces into the programming of demanding applications on multiprocessors with s...
In this chapter, we discuss some key aspects related to the reorganization process of these platform...
We present a multithreaded model for the dynamic load-balancing of parallel adaptive PDE computation...
We present a multithreaded model for the dynamic load-balancing of numerical, adaptive computations ...
Parallel Discrete Event Simulation (PDES) is based on the partitioning of the simulation model into ...
In Parallel Discrete Event Simulation (PDES), the simulation model is partitioned into a set of dist...
Two algorithms are proposed for dynamic load balancing which reduce the number of rollbacks in an op...
Computing has moved away from a focus on performance-centric serial computation, instead towards ene...
Three paradigms for distributed-memory parallel computation that free the application programmer fro...
Scientific computing is used frequently in an increasing number of disciplines to accelerate scienti...
There’s no doubt that the fundamentals of computer programming were broken at the launch of the mu...
The share-everything PDES (Parallel Discrete Event Simulation) paradigm is based on fully sharing th...
Abstract — This paper details our current research project on the efficient utilization of many-core...
Multicomputer systems based on message passing draw attractions in the field of high performance co...
Efficient parallel computing on distributed platforms still presents many obstacles. This paper addr...
The contribution introduces into the programming of demanding applications on multiprocessors with s...
In this chapter, we discuss some key aspects related to the reorganization process of these platform...
We present a multithreaded model for the dynamic load-balancing of parallel adaptive PDE computation...
We present a multithreaded model for the dynamic load-balancing of numerical, adaptive computations ...
Parallel Discrete Event Simulation (PDES) is based on the partitioning of the simulation model into ...
In Parallel Discrete Event Simulation (PDES), the simulation model is partitioned into a set of dist...
Two algorithms are proposed for dynamic load balancing which reduce the number of rollbacks in an op...
Computing has moved away from a focus on performance-centric serial computation, instead towards ene...
Three paradigms for distributed-memory parallel computation that free the application programmer fro...
Scientific computing is used frequently in an increasing number of disciplines to accelerate scienti...
There’s no doubt that the fundamentals of computer programming were broken at the launch of the mu...
The share-everything PDES (Parallel Discrete Event Simulation) paradigm is based on fully sharing th...
Abstract — This paper details our current research project on the efficient utilization of many-core...
Multicomputer systems based on message passing draw attractions in the field of high performance co...
Efficient parallel computing on distributed platforms still presents many obstacles. This paper addr...
The contribution introduces into the programming of demanding applications on multiprocessors with s...
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