Levent Gurel
Parallel MLFMA on Heterogeneous CPU-GPU Architectures for Imaging and Inverse Scattering
(bavd)Aug 2018 - Aug 2019
Parallelization of the Multilevel Fast Multipole Algorithm (MLFMA) on Heterogeneous CPU-GPU Architectures
(baaf)Nov 2015 - Dec 2016
2019
Mert Hidayetoğlu, Tekin Biçer, Simon Garcia de Gonzalo, Bin Ren, Doğa Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, and Wen-mei W. Hwu (2019): MemXCT: Memory-Centric X-ray CT Reconstruction with Massive Parallelization, Association for Computing Machinery, SC '19: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp85:1-85:56, Denver, Colorado, U.S.A.
2018
Mert Hidayetoglu, Carl Pearson. Izzat El Hajj, Levent Gurel, Weng Cho Chew, and Wen-Mei Hwu (2018): A Fast and Massively-Parallel Inverse Solver for Multiple-Scattering Tomographic Image Reconstruction, Institute of Electrical & Electronics Engineers, 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp64-74, Vancouver, British Columbia, Canada
2017
Mert Hidayetogglu, Carl Pearson, Levent Gurel, Wen-Mei Hwu, and Weng Cho Chew (2017): Scalable Parallel DBIM Solutions of Inverse-Scattering Problems, Institute of Electrical & Electronics Engineers, 2017 Computing and Electromagnetics International Workshop (CEM), pp65-66, Barcelona, Spain
Mert Hidayetogglu, Carl Pearson, Weng Cho Chew, Levent Gurel, and Wen-Mei Hwu (2017): Large Inverse-Scattering Solutions with DBIM on GPU-Enabled Supercomputers, Institute of Electrical & Electronics Engineers, 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES), pp1-2, Florence, Italy
2017
Levent Gurel (2017): Parallelization of the Multilevel Fast Multipole Algorithm (MLFMA) on Heterogeneous CPU-GPU Architectures, 2017 Blue Waters Annual Report, pp174-175
2016
Levent Gurel (2016): Parallelization of the Multilevel Fast Multipole Algorithm (MLFMA) on Heterogeneous CPU-GPU Architectures, 2017 Blue Waters Annual Report, pp174-175
Levent Gurel (2016): Parallelization of the Multilevel Fast Multipole Algorithm (MLFMA) on Heterogeneous CPU-GPU Architectures, 2017 Blue Waters Annual Report, pp174-175