activity
19952026
most citedThe Kernel Polynomial Method

1.1k citations · 4.5k across the 114 of their papers we have counts for

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Showing 2011Show all

8 papers · 1 filter

cs.PF2011

Performance engineering for the Lattice Boltzmann method on GPGPUs: Architectural requirements and performance results

Johannes Habich, Christian Feichtinger, Harald Köstler +2

GPUs offer several times the floating point performance and memory bandwidth of current standard two socket CPU servers, e.g. NVIDIA C2070 vs. Intel Xeon Westmere X5650. The lattic…

cs.DC2011★ 34 cited

Sparse matrix-vector multiplication on GPGPU clusters: A new storage format and a scalable implementation

Moritz Kreutzer, Georg Hager, Gerhard Wellein +3

Sparse matrix-vector multiplication (spMVM) is the dominant operation in many sparse solvers. We investigate performance properties of spMVM with matrices of various sparsity patte…

cs.DC2011★ 9 cited

Domain decomposition and locality optimization for large-scale lattice Boltzmann simulations

Markus Wittmann, Thomas Zeiser, Georg Hager +1

We present a simple, parallel and distributed algorithm for setting up and partitioning a sparse representation of a regular discretized simulation domain. This method is scalable…

cs.DC2011★ 102 cited

Comparison of different Propagation Steps for the Lattice Boltzmann Method

Markus Wittmann, Thomas Zeiser, Georg Hager +1

Several possibilities exist to implement the propagation step of the lattice Boltzmann method. This paper describes common implementations which are compared according to the numbe…

cond-mat.str-el2011★ 1 cited

Metal-insulator transition in the Edwards model

H. Fehske, S. Ejima, G. Wellein +1

To understand how charge transport is affected by a background medium and vice versa we study a two-channel transport model which captures this interplay via a novel, effective fer…

cs.DC2011★ 30 cited

Hybrid-parallel sparse matrix-vector multiplication with explicit communication overlap on current multicore-based systems

Gerald Schubert, Holger Fehske, Georg Hager +1

We evaluate optimized parallel sparse matrix-vector operations for several representative application areas on widespread multicore-based cluster configurations. First the single-s…

cs.PF2011★ 30 cited

Pushing the limits for medical image reconstruction on recent standard multicore processors

Jan Treibig, Georg Hager, Hannes G. Hofmann +2

Volume reconstruction by backprojection is the computational bottleneck in many interventional clinical computed tomography (CT) applications. Today vendors in this field replace s…

cs.DC2011★ 518 cited

LIKWID: Lightweight Performance Tools

Jan Treibig, Georg Hager, Gerhard Wellein

Exploiting the performance of today's microprocessors requires intimate knowledge of the microarchitecture as well as an awareness of the ever-growing complexity in thread and cach…