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 (IPDPS, 2018)

An Efficient GPU Implementation Technique for Higher-Order 3D Stencils. - Omer Anjum; Simon Garcia De Gonzalo; Mert Hidayetoglu; Wen-Mei Hwu (HPCC/SmartCity/DSS, 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 (SC, 2019)

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 (HPEC, 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 (IPDPS Workshops, 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 (SC, 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)

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 (PACT, 2021)

PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses. - Seungwon Min; Kun Wu 002; Sitao Huang; Mert Hidayetoglu; Jinjun Xiong; Eiman Ebrahimi; Deming Chen; Wen-Mei W. Hwu (CoRR, 2021)

Graph Neural Network Training with Data Tiering. - Seungwon Min; Kun Wu 002; Mert Hidayetoglu; Jinjun Xiong; Xiang Song 003; Wen-mei W. Hwu (CoRR, 2021)

Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. - Seungwon Min; Kun Wu 002; Sitao Huang; Mert Hidayetoglu; Jinjun Xiong; Eiman Ebrahimi; Deming Chen; Wen-mei W. Hwu (Proc. VLDB Endow., 2021)

Graph Neural Network Training and Data Tiering. - Seungwon Min; Kun Wu 002; Mert Hidayetoglu; Jinjun Xiong; Xiang Song 003; Wen-Mei Hwu (KDD, 2022)

Fast Numerical Integration Techniques for 2.5-Dimensional Inverse Problems. - Mert Hidayetoglu; Michael Oelze; Erhan Kudeki; Weng Cho Chew (CoRR, 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)

PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks. - Kun Wu 002; Mert Hidayetoglu; Xiang Song 003; Sitao Huang; Da Zheng; Israt Nisa; Wen-Mei W. Hwu (CoRR, 2023)

Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. - Kun Wu 002; Mert Hidayetoglu; Xiang Song 003; Sitao Huang; Da Zheng; Israt Nisa; Wen-Mei Hwu (ASPLOS (3), 2024)

CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes. - Mert Hidayetoglu; Simon Garcia De Gonzalo; Elliott Slaughter; Yu Li 041; Christopher Zimmer 001; Tekin Bicer; Bin Ren; William Gropp; Wen-Mei Hwu; Alex Aiken (ICS, 2024)

TBA: Faster Large Language Model Training Using SSD-Based Activation Offloading. - Kun Wu 002; Jeongmin Brian Park; Xiaofan Zhang 001; Mert Hidayetoglu; Vikram Sharma Mailthody; Sitao Huang; Steven S. Lumetta; Wen-Mei W. Hwu (CoRR, 2024)

HiCCL: A Hierarchical Collective Communication Library. - Mert Hidayetoglu; Simon Garcia de Gonzalo; Elliott Slaughter; Pinku Surana; Wen-mei W. Hwu; William Gropp; Alex Aiken (IPDPS, 2025)

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI. - Samyam Rajbhandari; Mert Hidayetoglu; Aurick Qiao; Ye Wang; Juncheng Yang; Jeff Rasley; Michael Wyatt; Yuxiong He (CoRR, 2025)

Task-Based Programming for Adaptive Mesh Refinement in Compressible Flow Simulations. - Anjiang Wei; Hang Song; Mert Hidayetoglu; Elliott Slaughter; Sanjiva K. Lele; Alex Aiken (CoRR, 2025)