Wen-Mei Hwu
Algorithmic Techniques for Scalable Many Core Computing
(bahj)Oct 2016 - Dec 2016
Effective Use of Accelerators/Highly Parallel Heterogeneous Units
(gki)Aug 2015 - Aug 2018
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.
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
2016
Subho S. Banerjee, Arjun P. Athreya, Liudmila S. Mainzer, C. Victor Jongeneel, Wen-Mei Hwu, Zbigniew T. Kalbarczyk, and Ravishankar K. Iyer (2016): Efficient and Scalable Workflows for Genomic Analyses, Association for Computing Machinery, Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing (DIDC '16), pp27-36, Kyoto, Japan
2013
Brett Bode, Michelle Butler, Thom Dunning, Torsten Hoefler, William Kramer, William Gropp, and Wen-mei Hwu (2013): The Blue Waters Super-System for Super-Science, Taylor & Francis, Contemporary high performance computing : from petascale toward exascale, Vol 1, pp339-366
