Orcun Yildiz

According to our database, Orcun Yildiz authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Extreme-scale workflows: A perspective from the JLESC international community.

Orcun Yildiz, Amal Gueroudji, Julien Bigot, Bruno Raffin, Rosa M. Badia, Tom Peterka

Future Gener. Comput. Syst., 2024

ChatVis: Automating Scientific Visualization with a Large Language Model.

Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka

CoRR, 2024

Wilkins: HPC In Situ Workflows Made Easy.

Orcun Yildiz, Dmitriy Morozov, Arnur Nigmetov, Bogdan Nicolae, Tom Peterka

CoRR, 2024

Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models.

Jie Ye, Jaime Cernuda, Neeraj Rajesh, Keith Bateman, Orcun Yildiz, Tom Peterka, Arnur Nigmetov, Dmitriy Morozov, Xian-He Sun, Anthony Kougkas, Bogdan Nicolae

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

LowFive: In Situ Data Transport for High-Performance Workflows.

Tom Peterka, Dmitriy Morozov, Arnur Nigmetov, Orcun Yildiz, Bogdan Nicolae, Philip E. Davis

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging.

Orcun Yildiz, Henry Chan, Krishnan Raghavan, William Judge, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka

Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 2022

Towards Low-Overhead Resilience for Data Parallel Deep Learning.

Bogdan Nicolae, Tanner Hobson, Orcun Yildiz, Tom Peterka, Dmitriy Morozov

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

Accelerating Scientific Workflows on HPC Platforms with In Situ Processing.

Tu Mai Anh Do, Loïc Pottier, Orcun Yildiz, Karan Vahi, Patrycja Krawczuk, Tom Peterka, Ewa Deelman

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Dynamic Heterogeneous Task Specification and Execution for In Situ Workflows.

Orcun Yildiz, Dmitriy Morozov, Bogdan Nicolae, Tom Peterka

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Shared-Memory Communication for Containerized Workflows.

Tanner Hobson, Orcun Yildiz, Bogdan Nicolae, Jian Huang, Tom Peterka

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2019

Heterogeneous Hierarchical Workflow Composition.

Orcun Yildiz, Jorge Ejarque, Henry Chan, Subramanian Sankaranarayanan, Rosa M. Badia, Tom Peterka

Comput. Sci. Eng., 2019

Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY.

Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka

IEEE Access, 2019

The challenges of elastic in situ analysis and visualization.

Matthieu Dorier, Orcun Yildiz, Tom Peterka, Robert B. Ross

Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2019

2018

Improving the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems with Eley.

Orcun Yildiz, Amelie Chi Zhou, Shadi Ibrahim

Future Gener. Comput. Syst., 2018

On the Performance of Spark on HPC Systems: Towards a Complete Picture.

Orcun Yildiz, Shadi Ibrahim

Proceedings of the Supercomputing Frontiers - 4th Asian Conference, 2018

Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models.

Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka

Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018

2017

Efficient Big Data Processing on Large-Scale Shared Platforms: Managing I/Os and Failures. (Sur l'efficacité des traitements Big Data sur les plateformes partagées à grande échelle: gestion des entrées-sorties et des pannes).

Orcun Yildiz

PhD thesis, 2017

Enabling fast failure recovery in shared Hadoop clusters: Towards failure-aware scheduling.

Orcun Yildiz, Shadi Ibrahim, Gabriel Antoniu

Future Gener. Comput. Syst., 2017

Eley: On the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems.

Orcun Yildiz, Amelie Chi Zhou, Shadi Ibrahim

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Damaris: Addressing Performance Variability in Data Management for Post-Petascale Simulations.

Matthieu Dorier, Gabriel Antoniu, Franck Cappello, Marc Snir, Robert Sisneros, Orcun Yildiz, Shadi Ibrahim, Tom Peterka, Leigh Orf

ACM Trans. Parallel Comput., 2016

On the energy footprint of I/O management in Exascale HPC systems.

Matthieu Dorier, Orcun Yildiz, Shadi Ibrahim, Anne-Cécile Orgerie, Gabriel Antoniu

Future Gener. Comput. Syst., 2016

On the Root Causes of Cross-Application I/O Interference in HPC Storage Systems.

Orcun Yildiz, Matthieu Dorier, Shadi Ibrahim, Robert B. Ross, Gabriel Antoniu

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015

Chronos: Failure-aware scheduling in shared Hadoop clusters.

Orcun Yildiz, Shadi Ibrahim, Tran Anh Phuong, Gabriel Antoniu

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

A performance and energy analysis of I/O management approaches for exascale systems.

Orcun Yildiz, Matthieu Dorier, Shadi Ibrahim, Gabriel Antoniu

Proceedings of the DIDC'14, 2014