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Mert Hidayetoglu

hidayet2@illinois.edu

https://merthidayetoglu.github.io

Coordinated Science Laboratory
1308 W. Main Street
Urbana, IL 61801


Senior PhD candidate at with research at the intersection of large-scale applications, high-performance computing, and software systems. Positioned thesis work on efficient communications for distributed sparse computations on multi-GPU node architecture.

My Projects:

 

My Publications:

"PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses", Seung Won Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei Hwu, https://arxiv.org/abs/2101.07956. [more...]
 
"Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes", Mert Hidayetoglu, Tekin Bicer, Simon Garcia de Gonzalo, Bin Ren, Vincent De Andrade, Doga Gursoy, Rajkumar Kettimuthu, Ian Foster, Wen-mei Hwu, International Conference for High Performance Computing, Networking, Storage and Analysis (SC20). (Best Paper Award) [more...]
 
"MemXCT: Memory-Centric X-Ray CT Reconstruction with Massive Parallelization", Mert Hidayetoglu, Tekin Bicer, Simon Garcia de Gonzalo, Bin Ren, Doga Gursoy, Rajkumar Kettimuthu, Ian Foster, Wen-mei Hwu, In the proceedings of the 2019 ACM International Conference for High Performance Computing, Networking, Storage and Analysis. ACM (SC19). (SC20 Perproducibility Challenge Benchmark) [more...]
 
"An Efficient GPU Implementation for Higher-Order 3D Stencils", Omer Anjum, Simon Garcia de Gonzalo, Mert Hidayetoglu, Wen-mei Hwu, In the 21st IEEE International Conference on High Performance Computing and Communications (HPCC19). (HPCC Best Paper Award) [more...]
 
"A Fast and Massively-Parallel Solver for Nonlinear Tomographic Image Reconstruction", Mert Hidayetoglu, Carl Pearson, Izzat El Hajj, Levent Gurel, Weng Cho Chew, Wen-mei Hwu, In Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2018. [more...]
 
"Scaling Analysis of a Hierarchical Parallelization of Large Inverse Multiple-Scattering Solutions", Mert Hidayetoglu, Carl Pearson, Izzat El Hajj, Weng Cho Chew, Levent Gurel, Wen-mei Hwu, Poster at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2017.. [more...]
 
"Comparative Performance Evaluation of Multi-GPU MLFMM Implementation for 2-D VIE Problems", Carl Pearson, Mert Hidayetoglu, Wen-mei Hwu, Computing and Electromagnetics International Workshop 2017. [more...]
 
"Fast DBIM Solutions on Supercomputers with Frequency-Hopping for Imaging of Large and High-Contrast Objects", Mert Hidayetoglu, Anthony Podkowa, Michael Oelze, Wen-mei Hwu, Weng Cho Chew, Progress in Electromagnetics Research Symposium (PIERS 2017), St. Petersburg, Russia. [more...]
 
"Large Inverse-Scattering Solutions with DBIM on GPU-Enabled Supercomputers", Mert Hidayetoglu, Carl Pearson, Weng Cho Chew, Levent Gurel, Wen-mei Hwu, Applied and Computational Electromagnetics Symposium (ACES 2017), Florence, Italy. For the speacial session: Big Data Aspects. [more...]
 
"Incorporating Multiple Scattering in Imaging with Iterative Born Methods", Mert Hidayetoglu, Anthony Podkowa, Michael Oelze, Levent Gurel, Wen-mei Hwu, Weng Cho Chew, URSI National Radio Science Meeting (URSI-NSRM 2017), Boulder, CO. [more...]
 
"Parallel Solutions of Inverse Multiple Scattering Problems with Born-Type Fast Solvers", Mert Hidayetoglu, Anthony Podkowa, Michael Oelze, Wen-mei Hwu, Weng Cho Chew, Progress in Electromagnetics Research Symposium (PIERS 2016), Shanghai, China. [more...]