Mert Hidayetoglu

According to our database, Mert Hidayetoglu authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks.

Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei W. Hwu

CoRR, 2023

2022

MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging.

Mert Hidayetoglu, Tekin Biçer, Simon Garcia de Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-Mei W. Hwu

IEEE Trans. Parallel Distributed Syst., 2022

Fast Numerical Integration Techniques for 2.5-Dimensional Inverse Problems.

Mert Hidayetoglu, Michael Oelze, Erhan Kudeki, Weng Cho Chew

CoRR, 2022

Graph Neural Network Training and Data Tiering.

Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-Mei Hwu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture.

Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei W. Hwu

Proc. VLDB Endow., 2021

Graph Neural Network Training with Data Tiering.

Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-mei W. Hwu

CoRR, 2021

PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses.

Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-Mei W. Hwu

CoRR, 2021

Accelerating Fourier and Number Theoretic Transforms using Tensor Cores and Warp Shuffles.

Sultan Durrani, Muhammad Saad Chughtai, Mert Hidayetoglu, Rashid Tahir, Abdul Dakkak, Lawrence Rauchwerger, Fareed Zaffar, Wen-Mei W. Hwu

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

Efficient Inference on GPUs for the Sparse Deep Neural Network Graph Challenge 2020.

Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-mei W. Hwu

CoRR, 2020

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 Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu

Proceedings of the International Conference for High Performance Computing, 2020

Node-Aware Stencil Communication for Heterogeneous Supercomputers.

Carl Pearson, Mert Hidayetoglu, Mohammad Almasri, Omer Anjum, I-Hsin Chung, Jinjun Xiong, Wen-Mei W. Hwu

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation.

Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-Mei Hwu

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

MemXCT: memory-centric X-ray CT reconstruction with massive parallelization.

Mert Hidayetoglu, Tekin Biçer, Simon Garcia De Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-mei W. Hwu

Proceedings of the International Conference for High Performance Computing, 2019

An Efficient GPU Implementation Technique for Higher-Order 3D Stencils.

Omer Anjum, Simon Garcia De Gonzalo, Mert Hidayetoglu, Wen-Mei Hwu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

A Fast and Massively-Parallel Inverse Solver for Multiple-Scattering Tomographic Image Reconstruction.

Mert Hidayetoglu, Carl Pearson, Izzat El Hajj, Levent Gürel, Weng Cho Chew, Wen-Mei W. Hwu

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018