Array-Based Reduction Operations for a Parallel Adaptive FEM

Balg, Martina; Lang, Jens; Meyer, Arnd; Rünger, Gudula

doi:10.1007/978-3-642-35893-7_3

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Sequential Methods1

Execution Time and Energy Depending On The Number Of Elements1

Parallel Cpu/gpu Execution1

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2013

2014

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Cited by 2 publications

(3 citation statements)

References 8 publications

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“…The routine ppcgm as implemented in [7,6] is shown as pseudo code in Algorithm 1. The routine executes the conjugate gradient method as described.…”

Section: Sequential Methodsmentioning

confidence: 99%

“…the execution speeds, are v ex,cpu = 587 el ms and v ex,gpu = 592 el ms (6) for the CPU and the GPU, respectively. The CPU cores of Sandybridge process roughly the same number of elements in a given amount of time as the GPU.…”

Section: Execution Time and Energy Depending On The Number Of Elementsmentioning

confidence: 99%

“…The code used here is based on an existing shared-memory parallel implementation of the adaptive FEM in OpenMP [6]. The GPU version of axmebe has been developed in CUDA.…”

Section: Parallel Cpu/gpu Executionmentioning

confidence: 99%

See 2 more Smart Citations

An execution time and energy model for an energy-aware execution of a conjugate gradient method with CPU/GPU collaboration

Lang

Rünger

2014

Journal of Parallel and Distributed Computing

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“…The routine ppcgm as implemented in [7,6] is shown as pseudo code in Algorithm 1. The routine executes the conjugate gradient method as described.…”

Section: Sequential Methodsmentioning

confidence: 99%

Section: Execution Time and Energy Depending On The Number Of Elementsmentioning

confidence: 99%