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Tekin Bicer
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2020 – today
- 2025
- [j4]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: 107438 (2025) - 2024
- [c30]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:
Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. e-Science 2024: 1-9 - [c29]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: 426-436 - [i11]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 abs/2403.06077 (2024) - [i10]Jiaze E, Srutarshi Banerjee, Tekin Bicer, Guannan Wang, Bin Ren:
FCDM: Sparse-view Sinogram Inpainting with Frequency Domain Convolution Enhanced Diffusion Models. CoRR abs/2409.06714 (2024) - 2023
- [c28]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: 1-6 - [c27]Hasibul Jamil, Joaquin Chung, Tekin Bicer, Tevfik Kosar, Rajkumar Kettimuthu:
Throughput Optimization with a NUMA-Aware Runtime System for Efficient Scientific Data Streaming. SC Workshops 2023: 795-805 - [i9]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 abs/2304.04297 (2023) - 2022
- [j3]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:
Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 3(10): 100606 (2022) - [j2]Mert Hidayetoglu, Tekin Biçer, Simon Garcia de Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-Mei W. Hwu:
MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging. IEEE Trans. Parallel Distributed Syst. 33(9): 2014-2031 (2022) - [c26]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: 19-26 - [c25]Joaquin 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: 185-198 - [c24]Chengyi Qu, Joaquin Chung, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu:
Evaluating SciStream (Federated Scientific Data Streaming Architecture) on FABRIC. INDIS@SC 2022: 25-31 - [i8]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:
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR abs/2204.05128 (2022) - [i7]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 abs/2209.09408 (2022) - [i6]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 abs/2211.00224 (2022) - 2021
- [j1]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): 45017 (2021) - [c23]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: 3477-3481 - [c22]Xiaodong Yu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Topology-aware optimizations for multi-GPU ptychographic image reconstruction. ICS 2021: 354-366 - [c21]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: 173-189 - [i5]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 abs/2106.07575 (2021) - [i4]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 abs/2111.11330 (2021) - 2020
- [c20]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: 274-284 - [c19]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: 8-15 - [c18]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: 37 - [c17]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: 88-95 - [i3]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 abs/2009.07226 (2020)
2010 – 2019
- 2019
- [c16]Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Deep Learning Accelerated Light Source Experiments. DLS@SC 2019: 20-28 - [c15]Mert Hidayetoglu, Tekin Biçer, Simon Garcia De Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-mei W. Hwu:
MemXCT: memory-centric X-ray CT reconstruction with massive parallelization. SC 2019: 85:1-85:56 - [i2]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 abs/1902.07582 (2019) - [i1]Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Deep Learning Accelerated Light Source Experiments. CoRR abs/1910.04081 (2019) - 2018
- [c14]Zhen Peng, Alexander Powell, Bo Wu, Tekin Bicer, Bin Ren:
Graphphi: efficient parallel graph processing on emerging throughput-oriented architectures. PACT 2018: 9:1-9:14 - 2017
- [c13]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: 59-68 - 2015
- [c12]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: 289-302 - [c11]Yi Wang, Gagan Agrawal, Tekin Bicer, Wei Jiang:
Smart: a MapReduce-like framework for in-situ scientific analytics. SC 2015: 51:1-51:12 - 2014
- [c10]Tekin Bicer, Jian Yin, Gagan Agrawal:
Improving I/O Throughput of Scientific Applications Using Transparent Parallel Compression. CCGRID 2014: 1-10 - 2013
- [c9]Tekin Bicer, Jian Yin, David Chiu, Gagan Agrawal, Karen Schuchardt:
Integrating Online Compression to Accelerate Large-Scale Data Analytics Applications. IPDPS 2013: 1205-1216 - [c8]Tekin Bicer, Gagan Agrawal:
A Compression Framework for Multidimensional Scientific Datasets. IPDPS Workshops 2013: 2250-2253 - 2012
- [c7]Tekin Bicer, David Chiu, Gagan Agrawal:
Time and Cost Sensitive Data-Intensive Computing on Hybrid Clouds. CCGRID 2012: 636-643 - 2011
- [c6]Tekin Bicer, David Chiu, Gagan Agrawal:
A Framework for Data-Intensive Computing with Cloud Bursting. CLUSTER 2011: 169-177 - [c5]Aarthi Raveendran, Tekin Bicer, Gagan Agrawal:
An Autonomic Framework for Time and Cost Driven Execution of MPI Programs on Cloud Environments. GRID 2011: 218-219 - [c4]Aarthi Raveendran, Tekin Bicer, Gagan Agrawal:
A Framework for Elastic Execution of Existing MPI Programs. IPDPS Workshops 2011: 940-947 - [c3]Tekin Bicer, David Chiu, Gagan Agrawal:
Poster: a framework for data-intensive computing with cloud bursting. SC Companion 2011: 5-6 - [c2]Tekin Bicer, David Chiu, Gagan Agrawal:
MATE-EC2: a middleware for processing data with AWS. MTAGS@SC 2011: 59-68 - 2010
- [c1]Tekin Bicer, Wei Jiang, Gagan Agrawal:
Supporting fault tolerance in a data-intensive computing middleware. IPDPS 2010: 1-12
Coauthor Index
aka: Raj Kettimuthu
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last updated on 2024-10-22 20:15 CEST by the dblp team
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