Parallel multigrid: grid partitioning versus domain decomposition
Proceedings of the 10th international conference on computing methods in applied sciences and engineering on Computing methods in applied sciences and engineering
Domain decomposition: parallel multilevel methods for elliptic partial differential equations
Domain decomposition: parallel multilevel methods for elliptic partial differential equations
Data Locality Exploitation in the Decomposition of Regular Domain Problems
IEEE Transactions on Parallel and Distributed Systems
Scaling of Beowulf-class distributed systems
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
Robust multigrid algorithms for the incompressible Navier-Stokes equations
Robust multigrid algorithms for the incompressible Navier-Stokes equations
Computer-Generated Marbling Textures: A GPU-Based Design System
IEEE Computer Graphics and Applications
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Computational Fluid Dynamics is probably one of the most computationally demanding disciplines, a driving force behind the development of new computer architectures. In fact, the design and evaluation of high-performance parallel systems is commonly based on CFD workloads. One of the most remarkable examples of such workloads is the NAS parallel benchmark, which aims to mimic the computation and data-movement characteristics of large scale CFD applications. We have paid specific attention to the NAS-MG (multigrid) kernel, since these methods represent one of the most promising solvers in the field of CFD. Nevertheless, practical flow computations demand robust multigrid algorithms which differ from the NAS-MG kernel. This paper presents a performance evaluation of a Beowulf system using both a state-of-the-art multigrid solver and the NAS-MG benchmark. These two codes have been used to compare several of its design choices, namely, the interconnection network (GigaNet versus Fast-Ethernet) as well as the node configuration (dual nodes versus single nodes). The results highlight that the optimal combination strongly depends on the target application.