Algorithmic skeletons: structured management of parallel computation
Algorithmic skeletons: structured management of parallel computation
Segmented Iterators and Hierarchical Algorithms
Selected Papers from the International Seminar on Generic Programming
Multi GPU implementation of iterative tomographic reconstruction algorithms
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
SkePU: a multi-backend skeleton programming library for multi-GPU systems
Proceedings of the fourth international workshop on High-level parallel programming and applications
Iterative Methods for Approximate Solution of Inverse Problems
Iterative Methods for Approximate Solution of Inverse Problems
Processing data streams with hard real-time constraints on heterogeneous systems
Proceedings of the international conference on Supercomputing
High-performance 3D compressive sensing MRI reconstruction using many-core architectures
Journal of Biomedical Imaging - Special issue on Parallel Computation in Medical Imaging Applications
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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.