Yazılım Mühendisi, Amazon Web Services, Elastic Compute Cloud, Seattle, WA, ABD, 10.2016-04.2018
Doktora Sonrası Araştırmacı, National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign, IL, ABD, 11.2015-10.2016
Yazılım Mühendisi, Amazon Web Services, Elastic Compute Cloud, Seattle, WA, ABD, 05.2015-11.2015
Araştırma Görevlisi, Utah Devlet Üniversitesi, Logan, Utah, ABD, 10.2011-05.2015
Baş Yazılım Mühendisi (05.2006-07.2009), Yazılım Mühendisi (12.2004-05.2006), Polar Teknoloji, Bilkent, Cyberpark, Ankara, Türkiye, 12.2004-07.2009
Okutman Deneyimleri
Okutman, Java Grafik Arayüzü Programlama, Utah Devlet Üniversitesi, Bilgisayar Bilimleri, Utah, ABD, 01.2013-05.2013
Akademik Editör Deneyimleri
Eleştirmen, The Journal of Supercomputing, Springer
Akademik Yayınlar
Kitap Bölümleri
Ahmet A. Yıldırım and Dan Watson. A cloud-aware distributed object storage system to retrieve large data via HTML5-enabled Web browsers, Managing Big Data in cloud computing environments, IGI Global, 25-45, 2016.
Ahmet A. Yıldırım, Cem Özdoğan and Dan Watson. Parallel data reduction techniques for big datasets. Big Data Management, Technologies, and Applications, IGI Global, 2014.
Dergi Makaleleri
Ahmet A. Yıldırım, Dan Watson, David Tarboton and Robert M Wallace. A Virtual Tile Approach to Raster-based Calculations of Large Digital Elevation Models in a Shared-Memory System, Computers and Geosciences, Elsevier, Volume 82, 77-88, 2015.
Ahmet A. Yıldırım and Dan Watson. A comparative study of the parallel wavelet-based clustering algorithm on 3-dimensional dataset, Journal of Supercomputing, Springer, Volume 71, Issue 7, July 2015.
Ahmet A. Yıldırım and Cem Özdoğan. Parallel WaveCluster: A linear scaling parallel clustering algorithm implementation with application to very large datasets, Journal of Parallel and Distributed Computing, Elsevier, Volume 71, Issue 7, July 2011.
Sempozyum Bildirileri
Ahmet A. Yıldırım. Orca: A Software Library For Parallel Computation of Symbolic Expressions via Remote Evaluation on MPI Systems. Computing Conference, London, UK, July 15-16, 2021.
Yan Liu, David Maidment, David G. Tarboton, Xing Zheng, Ahmet A. Yıldırım, Nazmus Sazib and Shaowen Wang. A CyberGIS Approach to Generating High-resolution Height Above Nearest Drainage (HAND) Raster for National Flood Mapping. The Third International Conference on CyberGIS and Geospatial Data Science (CyberGIS’16), 3, 2016.
Ahmet A. Yıldırım, David Tarboton, Yan Liu, Nazmus Shams Sazib and Shaowen Wang. Accelerating TauDEM for Extracting Hydrology Information from National-Scale High Resolution Topographic Dataset, In Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale (XSEDE16), ACM, 3, 2016.
Kornelijus Survila, Ahmet A. Yıldırım, Ting Li, Yan Y Liu, David G Tarboton and Shaowen Wang. A Scalable High-performance Topographic Flow Direction Algorithm for Hydrological Information Analysis, In Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale (XSEDE16), ACM, 11, 2016.
Ye Fan, Yan Liu, Shaowen Wang, David Tarboton, Ahmet A. Yıldırım and Nancy Wilkins-Diehr. Accelerating TauDEM as a Scalable Hydrological Terrain Analysis Service on XSEDE. XSEDE ‘14. July, 2014.
Ahmet A. Yıldırım, David Tarboton, Pabitra Dash and Dan Watson. Design and Implementation of a Web Service-Oriented Gateway to Facilitate Environmental Modeling using HPC Resources. In: 7th International Congress on Environmental Modelling and Software (iEMSs), San Diego, California, USA, June 15-19, 2014.
Ahmet A. Yıldırım and Cem Özdoğan. Parallel wavelet-based clustering algorithm using CUDA. Procedia Computer Science, Elsevier, Volume 3, February 2011.
Sempozyum Afişleri
David G Tarboton, JS Horsburgh, Pabitra K Dash, T Gichamo, Ahmet A. Yıldırım and N Jones. Data Services in Support of High Performance Computing-Based Distributed Hydrologic Models. AGU Fall Meeting, USU, December, 2014.
Ahmet A. Yıldırım, David Tarboton, Pabitra Dash and Dan Watson. Design and Implementation of a Web Service-Oriented Gateway to Facilitate Environmental Modeling using HPC Resources USU Spring Runoff Conference (April 2014), XSEDE ‘14 July, 2014.
Ahmet A. Yıldırım and Dan Watson. Parallel Convex Hull Algorithm for Heterogeneous System Using OpenCL. USU Graduate Studies Symposium. April, 2013.
Ahmet A. Yildirim and Cem Özdoğan. Parallel Data Mining Approaches on Very Large Datasets: Parallel WaveCluster, Engineering and Technology Symposium, Çankaya Üniversitesi, Ankara, Türkiye, April 29, 2010.