Please use this identifier to cite or link to this item:
|Title: ||Load balancing for constraint solving with GPUs|
|Authors: ||Roque, Pedro|
|Keywords: ||Constraint solving|
|Issue Date: ||Sep-2016|
|Citation: ||Pedro Roque, Vasco Pedro, and Salvador Abreu. Load balancing for constraint solving with GPUs. In INForum -- Simpósio de Informática 2016 (Computação Paralela, Distribuída e de Larga Escala), Lisboa, Portugal, September 2016.|
|Abstract: ||Solving a complex Constraint Satisfaction Problem (CSP) is a computationally hard task which may require a considerable amount of time. Parallelism has been applied successfully to the job and there are already many applications capable of harnessing the parallel power
of modern CPUs to speed up the solving process.
Current Graphics Processing Units (GPUs), containing from a few hundred to a few thousand cores, possess a level of parallelism that surpasses that of CPUs and there are much less applications capable of solving CSPs on GPUs, leaving space for further improvement.
This paper describes work in progress in the solving of CSPs on GPUs, CPUs and other devices, such as Intel Many Integrated Cores (MICs), in parallel. It presents the gains obtained when applying more devices to solve some problems and the main challenges that must be faced when
using devices with as different architectures as CPUs and GPUs, with a greater focus on how to effectively achieve good load balancing between such heterogeneous devices.|
|Appears in Collections:||INF - Artigos em Livros de Actas/Proceedings|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.