artu | TR

Resume

Research Interests

Parallel and distributed algorithms, programming models, artificial intelligence, data mining and cloud computing.

Education

  • Ph.D., Utah State University, Computer Science, UT, USA, 09.2011-05.2015
  • M.S., Cankaya University, Computer Engineering, Ankara, Türkiye, 09.2019-02.2011
  • B.S., Cankaya University, Industrial Engineering, Ankara, Türkiye, 09.1998-07.2003

Work Experience

  • Senior Researcher, AMD, AMD Research, Bellevue, WA, 07.2022-…
  • Principal Software Engineer, Oracle, Oracle Cloud Infrastructure, Seattle, WA, 01.2022-07.2022
  • Senior Software Engineer, Oracle, Oracle Cloud Infrastructure, Seattle, WA, 04.2018-01.2022
  • Software Development Engineer, Amazon Web Services, Elastic Compute Cloud, Seattle, WA, 10.2016-04.2018
  • Postdoctoral Research Associate, National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign, IL, 11.2015-10.2016
  • Software Development Engineer, Amazon Web Services, Elastic Compute Cloud, Seattle, WA, 05.2015-11.2015
  • Graduate Research Assistant, Utah State University, Logan, UT, 10.2011-05.2015
  • Lead Software Developer (05.2006-07.2009), Software Developer (12.2004-05.2006), Polar Information Technologies, Bilkent, Cyberpark, Ankara, Türkiye, 12.2004-07.2009

Teaching Experience

  • Lecturer, Course: Java GUI Programming, Utah State University, Computer Science, UT, 01.2013-05.2013

Publications

Book Chapters

  • 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.

Journal Publications

  • 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.

Conference Publications

  • 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.

Conference Posters

  • 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, Cankaya University, Ankara, Türkiye, April 29, 2010.