Parallelizing the LM OSEM Image Reconstruction on Multi-Core Clusters

被引：0
|
作者：
Ciechanowicz, Philipp [1 ]
Kegel, Philipp [1 ]
Schellmann, Maraike [1 ]
Gorlatch, Sergei [1 ]
Kuchen, Herbert [1 ]
机构：
[1] Univ Munster, Munster, Germany
来源：
PARALLEL COMPUTING: FROM MULTICORES AND GPU'S TO PETASCALE | 2010年 / 19卷
关键词：
algorithmic skeletons; Muesli; MPI; OpenMP; TBB; medical imaging;
D O I：
10.3233/978-1-60750-530-3-169
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In this paper we present four different parallel implementations of the popular LM OSEM medical image reconstruction algorithm. While two of them use libraries such as MPI, OpenMP, or Threading Building Blocks (TBB) directly, the other two implementations use algorithmic skeletons of the Munster Skeleton Library Muesli to hide the parallelism. We compare the implementations w.r.t. run-time, efficiency, and programming style and show the resulting benchmarks which have been conducted on a multi-processor, multi-core cluster computer.
引用
收藏
页码：169 / 176
页数：8
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