Mert Hidayetoglu

Orcid: 0000-0001-9276-5075

According to our database1, Mert Hidayetoglu authored at least 17 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes.
Proceedings of the 38th ACM International Conference on Supercomputing, 2024

Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks.
CoRR, 2023

MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging.
IEEE Trans. Parallel Distributed Syst., 2022

Fast Numerical Integration Techniques for 2.5-Dimensional Inverse Problems.
CoRR, 2022

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

Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture.
Proc. VLDB Endow., 2021

Graph Neural Network Training with Data Tiering.
CoRR, 2021

PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses.
CoRR, 2021

Accelerating Fourier and Number Theoretic Transforms using Tensor Cores and Warp Shuffles.
Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

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

Petascale XCT: 3D image reconstruction with hierarchical communications on multi-GPU nodes.
Proceedings of the International Conference for High Performance Computing, 2020

Node-Aware Stencil Communication for Heterogeneous Supercomputers.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

MemXCT: memory-centric X-ray CT reconstruction with massive parallelization.
Proceedings of the International Conference for High Performance Computing, 2019

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

A Fast and Massively-Parallel Inverse Solver for Multiple-Scattering Tomographic Image Reconstruction.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018