The Potential for a GPU-Like Overlay Architecture for FPGAs by Jeffrey Kingyens, J. Gregory Steffan

“…We propose a soft processor programming model and architecture inspired by graphics processing units (GPUs) that are well-matched to the strengths of FPGAs, namely, highly parallel and pipelinable computation. …”
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A Workload-Adaptive and Reconfigurable Bus Architecture for Multicore Processors by Shoaib Akram, Alexandros Papakonstantinou, Rakesh Kumar, Deming Chen

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Exploring Many-Core Design Templates for FPGAs and ASICs by Ilia Lebedev, Christopher Fletcher, Shaoyi Cheng, James Martin, Austin Doupnik, Daniel Burke, Mingjie Lin, John Wawrzynek

“…The template is customized on a per-application basis via a range of high-level parameters such as the interconnect topology or processing element architecture. The key benefits of this approach are that it (i) allows programmers to express parallelism through an API defined in a high-level programming language, (ii) supports coarse-grained multithreading and fine-grained threading while permitting bit-level resource control, and (iii) reduces the effort required to repurpose the system for different algorithms or different applications. …”
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Boosting Parallel Applications Performance on Applying DIM Technique in a Multiprocessing Environment by Mateus B. Rutzig, Antonio C. S. Beck, Felipe Madruga, Marco A. Alves, Henrique C. Freitas, Nicolas Maillard, Philippe O. A. Navaux, Luigi Carro

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High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System by Manob Jyoti Saikia, Rajan Kanhirodan, Ram Mohan Vasu

“…The reduction in execution time of 3D DOT algorithm, a severely ill-posed problem, is made possible through the use of (1) an algorithmic improvement that uses Broyden approach for updating the Jacobian matrix and thereby updating the parameter matrix and (2) the multinode multithreaded GPU and CUDA (Compute Unified Device Architecture) software architecture. …”
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