Tekin Bicer

50 papers A 9B 6C 1Journal 18Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient distributed continual learning for steering experiments in real-time.
Future Gener. Comput. Syst.
Thomas Bouvier, Bogdan Nicolae, Alexandru Costan, Tekin Bicer, Ian T. Foster, Gabriel Antoniu
2025 J jnl
HiSin: Efficient High-Resolution Sinogram Inpainting via Resolution-Guided Progressive Inference.
CoRR
Jiaze E, Srutarshi Banerjee, Tekin Bicer, Guannan Wang, Yanfu Zhang, Bin Ren
2025 — conf
Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance.
MLSP
Refik M. Cam, Junjing Deng, Rajkumar Kettimuthu, Mathew J. Cherukara, Tekin Bicer
2025 — conf
RESILIO : A Scalable and Composable Architecture for Tomographic Reconstruction Workflows.
SC Workshops
Amal Gueroudji, Matthieu Dorier, Philip H. Carns, Parth Patel, Tekin Bicer, Robert Latham, Robert B. Ross, Kyle Chard, Ian T. Foster
2025 J jnl
ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates.
CoRR
Tingfeng Lan, Yusen Wu, Bin Ma, Zhaoyuan Su, Rui Yang, Tekin Bicer, Dong Li, Yue Cheng
2025 A conf
mLR: Scalable Laminography Reconstruction based on Memoization.
SC
Bin Ma, Viktor Nikitin, Xi Wang, Tekin Bicer, Dong Li
2025 J jnl
mLR: Scalable Laminography Reconstruction based on Memoization.
CoRR
Bin Ma, Viktor Nikitin, Xi Wang, Tekin Bicer, Dong Li
2024 A conf
CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes.
ICS
Mert Hidayetoglu, Simon Garcia De Gonzalo, Elliott Slaughter, Yu Li, Christopher Zimmer, Tekin Bicer, Bin Ren, William Gropp, Wen-Mei Hwu, Alex Aiken
2024 B conf
Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows.
e-Science
Bogdan Nicolae, Justin M. Wozniak, Tekin Bicer, Hai Nguyen, Parth Patel, Haochen Pan, Amal Gueroudji, Maxime Gonthier, Valérie Hayot-Sasson, Eliu A. Huerta, Kyle Chard, Ryan Chard, Matthieu Dorier, Nageswara S. V. Rao, Anees Al-Najjar, Alessandra Corsi, Ian T. Foster
2024 J jnl
FCDM: Sparse-view Sinogram Inpainting with Frequency Domain Convolution Enhanced Diffusion Models.
CoRR
Jiaze E, Srutarshi Banerjee, Tekin Bicer, Guannan Wang, Bin Ren
2024 J jnl
Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification.
CoRR
Canberk Ekmekci, Tekin Bicer, Zichao Wendy Di, Junjing Deng, Müjdat Çetin
2024 J jnl
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments.
CoRR
Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster
2023 J jnl
AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources.
CoRR
Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke, Sinisa Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara
2023 — conf
AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources.
High Performance Computing for Imaging
Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke, Sinisa Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara
2023 — conf
Throughput Optimization with a NUMA-Aware Runtime System for Efficient Scientific Data Streaming.
SC Workshops
Hasibul Jamil, Joaquin Chung, Tekin Bicer, Tevfik Kosar, Rajkumar Kettimuthu
2022 J jnl
Deep learning at the edge enables real-time streaming ptychographic imaging.
CoRR
Anakha V. Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke, Ryan Chard, Yudong Yao, Ekaterina Sirazitdinova, Geetika Gupta, Martin V. Holt, Ian T. Foster, Antonino Miceli, Mathew J. Cherukara
2022 — conf
Evaluating SciStream (Federated Scientific Data Streaming Architecture) on FABRIC.
INDIS@SC
Chengyi Qu, Joaquin Chung, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu
2022 — conf
Large Scale Caching and Streaming of Training Data for Online Deep Learning.
FlexScience@HPDC
Jie Liu, Bogdan Nicolae, Dong Li, Justin M. Wozniak, Tekin Bicer, Zhengchun Liu, Ian T. Foster
2022 J jnl
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences.
CoRR
Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
2022 J jnl
Linking scientific instruments and computation: Patterns, technologies, and experiences.
Patterns
Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
2022 J jnl
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates.
CoRR
Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao
2022 A conf
SciStream: Architecture and Toolkit for Data Streaming between Federated Science Instruments.
HPDC
Joaquin Chung, Wojciech Zacherek, A. J. Wisniewski, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
2021 B conf
3d Autoencoders For Feature Extraction In X-Ray Tomography.
ICIP
Aniket Tekawade, Zhengchun Liu, Peter Kenesei, Tekin Bicer, Francesco De Carlo, Rajkumar Kettimuthu, Ian T. Foster
2021 B conf
High-Performance Ptychographic Reconstruction with Federated Facilities.
SMC
Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
2021 J jnl
High-Performance Ptychographic Reconstruction with Federated Facilities.
CoRR
Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
2021 J jnl
Joint ptycho-tomography with deep generative priors.
Mach. Learn. Sci. Technol.
Selin S. Aslan, Zhengchun Liu, Viktor V. Nikitin, Tekin Bicer, Sven Leyffer, Doga Gürsoy
2021 J jnl
Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data.
CoRR
Xiaodong Yu, Viktor V. Nikitin, Daniel J. Ching, Selin S. Aslan, Doga Gürsoy, Tekin Bicer
2021 A conf
Topology-aware optimizations for multi-GPU ptychographic image reconstruction.
ICS
Xiaodong Yu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
2020 — conf
Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements.
MLHPC/AI4S@SC
Ziling Wu, Tekin Bicer, Zhengchun Liu, Vincent De Andrade, Yunhui Zhu, Ian T. Foster
2020 A conf
GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting.
IPDPS
Xiaodong Yu, Fengguo Wei, Xinming Ou, Michela Becchi, Tekin Bicer, Danfeng Daphne Yao
2020 J jnl
Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes.
CoRR
Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu
2020 A conf
Petascale XCT: 3D image reconstruction with hierarchical communications on multi-GPU nodes.
SC
Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu
2020 — conf
Tomographic Reconstruction of Dynamic Features with Streaming Sliding Subsets.
XLOOP@SC
Tekin Bicer, Viktor V. Nikitin, Selin S. Aslan, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster
2019 — conf
Deep Learning Accelerated Light Source Experiments.
DLS@SC
Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
2019 J jnl
Deep Learning Accelerated Light Source Experiments.
CoRR
Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
2019 J jnl
TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks.
CoRR
Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gürsoy, Francesco De Carlo, Ian T. Foster
2018 B conf
Graphphi: efficient parallel graph processing on emerging throughput-oriented architectures.
PACT
Zhen Peng, Alexander Powell, Bo Wu, Tekin Bicer, Bin Ren
2017 — conf
Real-Time Data Analysis and Autonomous Steering of Synchrotron Light Source Experiments.
eScience
Tekin Bicer, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Bin Ren, Vincent De Andrade, Francesco De Carlo
2015 — conf
Rapid Tomographic Image Reconstruction via Large-Scale Parallelization.
Euro-Par
Tekin Bicer, Doga Gürsoy, Rajkumar Kettimuthu, Francesco De Carlo, Gagan Agrawal, Ian T. Foster
2015 A conf
Smart: a MapReduce-like framework for in-situ scientific analytics.
SC
Yi Wang, Gagan Agrawal, Tekin Bicer, Wei Jiang
2014 B conf
Improving I/O Throughput of Scientific Applications Using Transparent Parallel Compression.
CCGRID
Tekin Bicer, Jian Yin, Gagan Agrawal
2013 — conf
A Compression Framework for Multidimensional Scientific Datasets.
IPDPS Workshops
Tekin Bicer, Gagan Agrawal
2013 A conf
Integrating Online Compression to Accelerate Large-Scale Data Analytics Applications.
IPDPS
Tekin Bicer, Jian Yin, David Chiu, Gagan Agrawal, Karen Schuchardt
2012 B conf
Time and Cost Sensitive Data-Intensive Computing on Hybrid Clouds.
CCGRID
Tekin Bicer, David Chiu, Gagan Agrawal
2011 C conf
A Framework for Data-Intensive Computing with Cloud Bursting.
CLUSTER
Tekin Bicer, David Chiu, Gagan Agrawal
2011 — conf
A Framework for Elastic Execution of Existing MPI Programs.
IPDPS Workshops
Aarthi Raveendran, Tekin Bicer, Gagan Agrawal
2011 — conf
An Autonomic Framework for Time and Cost Driven Execution of MPI Programs on Cloud Environments.
GRID
Aarthi Raveendran, Tekin Bicer, Gagan Agrawal
2011 — conf
MATE-EC2: a middleware for processing data with AWS.
MTAGS@SC
Tekin Bicer, David Chiu, Gagan Agrawal
2011 — conf
Poster: a framework for data-intensive computing with cloud bursting.
SC Companion
Tekin Bicer, David Chiu, Gagan Agrawal
2010 A conf
Supporting fault tolerance in a data-intensive computing middleware.
IPDPS
Tekin Bicer, Wei Jiang, Gagan Agrawal