Reviewing GPU architectures to build efficient back projection for parallel geometries

An Efficient Multiway Mergesort for GPU Architectures

Sorting is a primitive operation that is a building block for countless algorithms. As such, it is important to design sorting algorithms that approach peak performance on a range of hardware architectures. Graphics Processing Units (GPUs) are particularly attractive architectures as they provides massive parallelism and computing power. However, the intricacies of their compute and memory hier...

Fast Gpu-based Interpolation for Sar Back- Projection

We introduce and discuss a parallel SAR backprojection algorithm using a Non-Uniform FFT (NUFFT) routine implemented on a GPU in CUDA language. The details of a convenient GPU implementation of the NUFFT-based SAR backprojection algorithm, amenable to further generalizations to a multi-GPU architecture, are also given. The performance of the approach is analyzed in terms of accuracy and computa...

GPU - Accelerated Back - Projection Revisited : Squeezing Performance by Careful Tuning

— In recent years, GPUs have become an increasingly popular tool in computed tomography (CT) reconstruction. In this paper, we discuss performance optimization techniques for a GPU-based filtered-backprojection reconstruction implementation. We explore the different optimization techniques we used and explain how those techniques affected performance. Our results show a nearly 50% increase in p...

Efficient Runtime Systems for Parallel Architectures

Efficient Execution Paradigms for Parallel Heterogeneous Architectures

Koukos, K. 2016. Efficient Execution Paradigms for Parallel Heterogeneous Architectures. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1405. 54 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9654-8. This thesis proposes novel, efficient execution-paradigms for parallel heterogeneous architectures. The end of Dennard scaling is ...