A Multi-GPU Programming Library for Real-Time Applications
2012 | conference paper. A publication with affiliation to the University of Göttingen.
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- Authors
- Schaetz, Sebastian; Uecker, Martin
- Abstract
- We present MGPU, a C++ programming library targeted at single-node multi-GPU systems. Such systems combine disproportionate floating point performance with high data locality and are thus well suited to implement real-time algorithms. We describe the library design, programming interface and implementation details in light of this specific problem domain. The core concepts of this work are a novel kind of container abstraction and MPI-like communication methods for intra-system communication. We further demonstrate how MGPU is used as a framework for porting existing GPU libraries to multi-device architectures. Putting our library to the test, we accelerate an iterative non-linear image reconstruction algorithm for real-time magnetic resonance imaging using multiple GPUs. We achieve a speed-up of about 1.7 using 2 GPUs and reach a final speed-up of 2.1 with 4 GPUs. These promising results lead us to conclude that multi-GPU systems are a viable solution for real-time MRI reconstruction as well as signal-processing applications in general.
- Issue Date
- 2012
- Publisher
- Springer
- ISBN
- 978-3-642-33077-3
- Conference Place
- Japan
- Event start
- 2012-09-04
- Event end
- 2012-09-07
- ISSN
- 0302-9743
- Language
- English