Evaluation of performance and architectural efficiency of FPGAs and GPUs in the 40 and 28nm generations for algorithms in 3D ultrasound computer tomography
Authors:
- Matthias BirkMBMatthias Birk
- Matthias BalzerMBMatthias Balzer
- Nicole V. RuiterNRNicole V. Ruiter
- Juergen BeckerJBJuergen Becker
- 1 May 2014
- journal article
- research article
- Published by Elsevier in Computers and Electrical Engineering
- Vol. 40 (4) , 1171-1185
Abstract
No abstract availableThis publication has 23 references indexed in Scilit:
- A comprehensive comparison of GPU- and FPGA-based acceleration of reflection image reconstruction for 3D ultrasound computer tomographyJournal of Real-Time Image Processing, 2012
- Image convolution processing: A GPU versus FPGA comparison2012
- A performance and energy comparison of FPGAs, GPUs, and multicores for sliding-window applications2012
- Floating-point mixed-radix FFT core generation for FPGA and comparison with GPU and CPU2011
- GPU vs FPGA: Example Application on White Light Interferometry2011
- Highly Parameterized K-means Clustering on FPGAs: Comparative Results with GPPs and GPUs2011
- Enumeration of Costas Arrays Using GPUs and FPGAs2011
- Molecular Docking on FPGA and GPU Platforms2011
- SAFT — the evolution of a signal processing technology for ultrasonic testingNDT International, 1986
- Ultrasonic Reflectivity Tomography: Reconstruction with Circular Transducer ArraysUltrasonic Imaging, 1979