Tekin Bicer

Publication Activity (10 Years)

Years Active: 2010-2025
Publications (10 Years): 29

Top Topics

Emission Computed Tomography

Image Reconstruction

Top Venues

Publications

Thomas Bouvier, Bogdan Nicolae, Alexandru Costan, Tekin Bicer, Ian T. Foster, Gabriel Antoniu
Efficient distributed continual learning for steering experiments in real-time. Future Gener. Comput. Syst. 162 (2025)
Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments. CoRR (2024)
Mert Hidayetoglu, Simon Garcia De Gonzalo, Elliott Slaughter, Yu Li, Christopher Zimmer, Tekin Bicer, Bin Ren, William Gropp, Wen-Mei Hwu, Alex Aiken
CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes. ICS (2024)
Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke, Sinisa Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara
AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources. CoRR (2023)
Hasibul Jamil, Joaquín Chung, Tekin Bicer, Tevfik Kosar, Rajkumar Kettimuthu
Throughput Optimization with a NUMA-Aware Runtime System for Efficient Scientific Data Streaming. SC Workshops (2023)
Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke, Sinisa Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara
AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources. High Performance Computing for Imaging (2023)
Chengyi Qu, Joaquín Chung, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu
Evaluating SciStream (Federated Scientific Data Streaming Architecture) on FABRIC. INDIS@SC (2022)
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
Deep learning at the edge enables real-time streaming ptychographic imaging. CoRR (2022)
Rafael Vescovi, Ryan Chard, Nickolaus Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR (2022)
Rafael Vescovi, Ryan Chard, Nickolaus Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 3 (10) (2022)
Joaquín Chung, Wojciech Zacherek, A. J. Wisniewski, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
SciStream: Architecture and Toolkit for Data Streaming between Federated Science Instruments. HPDC (2022)
Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates. CoRR (2022)
Jie Liu, Bogdan Nicolae, Dong Li, Justin M. Wozniak, Tekin Bicer, Zhengchun Liu, Ian T. Foster
Large Scale Caching and Streaming of Training Data for Online Deep Learning. FlexScience@HPDC (2022)
Xiaodong Yu, Viktor V. Nikitin, Daniel J. Ching, Selin S. Aslan, Doga Gürsoy, Tekin Bicer
Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data. CoRR (2021)
Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
High-Performance Ptychographic Reconstruction with Federated Facilities. CoRR (2021)
Aniket Tekawade, Zhengchun Liu, Peter Kenesei, Tekin Bicer, Francesco De Carlo, Rajkumar Kettimuthu, Ian T. Foster
3d Autoencoders For Feature Extraction In X-Ray Tomography. ICIP (2021)
Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
High-Performance Ptychographic Reconstruction with Federated Facilities. SMC (2021)
Xiaodong Yu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
Topology-aware optimizations for multi-GPU ptychographic image reconstruction. ICS (2021)
Selin S. Aslan, Zhengchun Liu, Viktor V. Nikitin, Tekin Bicer, Sven Leyffer, Doga Gürsoy
Joint ptycho-tomography with deep generative priors. Mach. Learn. Sci. Technol. 2 (4) (2021)
Xiaodong Yu, Fengguo Wei, Xinming Ou, Michela Becchi, Tekin Bicer, Danfeng Daphne Yao
GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting. IPDPS (2020)
Ziling Wu, Tekin Bicer, Zhengchun Liu, Vincent De Andrade, Yunhui Zhu, Ian T. Foster
Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements. MLHPC/AI4S@SC (2020)
Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu
Petascale XCT: 3D image reconstruction with hierarchical communications on multi-GPU nodes. SC (2020)
Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu
Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes. CoRR (2020)
Tekin Bicer, Viktor V. Nikitin, Selin S. Aslan, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster
Tomographic Reconstruction of Dynamic Features with Streaming Sliding Subsets. XLOOP@SC (2020)
Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
Deep Learning Accelerated Light Source Experiments. CoRR (2019)
Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gürsoy, Francesco De Carlo, Ian T. Foster
TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks. CoRR (2019)
Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
Deep Learning Accelerated Light Source Experiments. DLS@SC (2019)
Zhen Peng, Alexander Powell, Bo Wu, Tekin Bicer, Bin Ren
Graphphi: efficient parallel graph processing on emerging throughput-oriented architectures. PACT (2018)
Tekin Bicer, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Bin Ren, Vincent De Andrade, Francesco De Carlo
Real-Time Data Analysis and Autonomous Steering of Synchrotron Light Source Experiments. eScience (2017)
Yi Wang, Gagan Agrawal, Tekin Bicer, Wei Jiang
Smart: a MapReduce-like framework for in-situ scientific analytics. SC (2015)
Tekin Bicer, Doga Gürsoy, Rajkumar Kettimuthu, Francesco De Carlo, Gagan Agrawal, Ian T. Foster
Rapid Tomographic Image Reconstruction via Large-Scale Parallelization. Euro-Par (2015)
Tekin Bicer, Jian Yin, Gagan Agrawal
Improving I/O Throughput of Scientific Applications Using Transparent Parallel Compression. CCGRID (2014)
Tekin Bicer, Gagan Agrawal
A Compression Framework for Multidimensional Scientific Datasets. IPDPS Workshops (2013)
Tekin Bicer, Jian Yin, David Chiu, Gagan Agrawal, Karen Schuchardt
Integrating Online Compression to Accelerate Large-Scale Data Analytics Applications. IPDPS (2013)
Tekin Bicer, David Chiu, Gagan Agrawal
Time and Cost Sensitive Data-Intensive Computing on Hybrid Clouds. CCGRID (2012)
Tekin Bicer, David Chiu, Gagan Agrawal
MATE-EC2: a middleware for processing data with AWS. MTAGS@SC (2011)
Aarthi Raveendran, Tekin Bicer, Gagan Agrawal
A Framework for Elastic Execution of Existing MPI Programs. IPDPS Workshops (2011)
Tekin Bicer, David Chiu, Gagan Agrawal
Poster: a framework for data-intensive computing with cloud bursting. SC Companion (2011)
Aarthi Raveendran, Tekin Bicer, Gagan Agrawal
An Autonomic Framework for Time and Cost Driven Execution of MPI Programs on Cloud Environments. GRID (2011)
Tekin Bicer, David Chiu, Gagan Agrawal
A Framework for Data-Intensive Computing with Cloud Bursting. CLUSTER (2011)
Tekin Bicer, Wei Jiang, Gagan Agrawal
Supporting fault tolerance in a data-intensive computing middleware. IPDPS (2010)