Tekin Bicer

Orcid: 0000-0002-8428-5159

According to our database1, Tekin Bicer authored at least 36 papers between 2010 and 2023.

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

Timeline

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Bibliography

2023
Throughput Optimization with a NUMA-Aware Runtime System for Efficient Scientific Data Streaming.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources.
Proceedings of the High Performance Computing for Imaging 2023, 2023

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

Linking scientific instruments and computation: Patterns, technologies, and experiences.
Patterns, 2022

SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates.
CoRR, 2022

Deep learning at the edge enables real-time streaming ptychographic imaging.
CoRR, 2022

Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences.
CoRR, 2022

Evaluating SciStream (Federated Scientific Data Streaming Architecture) on FABRIC.
Proceedings of the IEEE/ACM International Workshop on Innovating the Network for Data-Intensive Science, 2022

SciStream: Architecture and Toolkit for Data Streaming between Federated Science Instruments.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

Large Scale Caching and Streaming of Training Data for Online Deep Learning.
Proceedings of the FlexScience '22: Proceedings of the 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, 2022

2021
Joint ptycho-tomography with deep generative priors.
Mach. Learn. Sci. Technol., 2021

Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data.
CoRR, 2021

High-Performance Ptychographic Reconstruction with Federated Facilities.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Topology-aware optimizations for multi-GPU ptychographic image reconstruction.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

3d Autoencoders For Feature Extraction In X-Ray Tomography.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements.
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

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

Tomographic Reconstruction of Dynamic Features with Streaming Sliding Subsets.
Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020

GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019
TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks.
CoRR, 2019

Deep Learning Accelerated Light Source Experiments.
Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

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

2018
Graphphi: efficient parallel graph processing on emerging throughput-oriented architectures.
Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017
Real-Time Data Analysis and Autonomous Steering of Synchrotron Light Source Experiments.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

2015
Smart: a MapReduce-like framework for in-situ scientific analytics.
Proceedings of the International Conference for High Performance Computing, 2015

Rapid Tomographic Image Reconstruction via Large-Scale Parallelization.
Proceedings of the Euro-Par 2015: Parallel Processing, 2015

2014
Improving I/O Throughput of Scientific Applications Using Transparent Parallel Compression.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013
Integrating Online Compression to Accelerate Large-Scale Data Analytics Applications.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

A Compression Framework for Multidimensional Scientific Datasets.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

2012
Time and Cost Sensitive Data-Intensive Computing on Hybrid Clouds.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

2011
MATE-EC2: a middleware for processing data with AWS.
Proceedings of the 2011 ACM International Workshop on Many Task Computing on Grids and Supercomputers, 2011

Poster: a framework for data-intensive computing with cloud bursting.
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

A Framework for Elastic Execution of Existing MPI Programs.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

An Autonomic Framework for Time and Cost Driven Execution of MPI Programs on Cloud Environments.
Proceedings of the 12th IEEE/ACM International Conference on Grid Computing, 2011

A Framework for Data-Intensive Computing with Cloud Bursting.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

2010
Supporting fault tolerance in a data-intensive computing middleware.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010


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