Application-level optimization of big data transfers through pipelining, parallelism and concurrency E Yildirim, E Arslan, J Kim, T Kosar IEEE Transactions on Cloud Computing 4 (1), 63-75, 2015 | 93 | 2015 |
Prediction of optimal parallelism level in wide area data transfers E Yildirim, D Yin, T Kosar IEEE Transactions on Parallel and Distributed Systems 22 (12), 2033-2045, 2011 | 80 | 2011 |
A data throughput prediction and optimization service for widely distributed many-task computing D Yin, E Yildirim, T Kosar Proceedings of the 2nd Workshop on Many-Task Computing on Grids and …, 2009 | 60 | 2009 |
End-to-end data-flow parallelism for throughput optimization in high-speed networks E Yildirim, T Kosar Journal of Grid Computing 10, 395-418, 2012 | 42 | 2012 |
Dynamically tuning level of parallelism in wide area data transfers E Yildirim, M Balman, T Kosar Proceedings of the 2008 international workshop on Data-aware distributed …, 2008 | 39 | 2008 |
How gridftp pipelining, parallelism and concurrency work: A guide for optimizing large dataset transfers E Yildirim, JY Kim, T Kosar 2012 SC Companion: High Performance Computing, Networking Storage and …, 2012 | 38 | 2012 |
Which network measurement tool is right for you? a multidimensional comparison study E Yildirim, IH Suslu, T Kosar 2008 9th IEEE/ACM International Conference on Grid Computing, 266-275, 2008 | 38 | 2008 |
Network-aware end-to-end data throughput optimization E Yildirim, T Kosar Proceedings of the first international workshop on Network-aware data …, 2011 | 37 | 2011 |
Balancing tcp buffer vs parallel streams in application level throughput optimization E Yildirim, D Yin, T Kosar Proceedings of the second international workshop on Data-aware distributed …, 2009 | 37 | 2009 |
A highly-accurate and low-overhead prediction model for transfer throughput optimization JY Kim, E Yildirim, T Kosar Cluster Computing 18, 41-59, 2015 | 36 | 2015 |
Stork data scheduler: Mitigating the data bottleneck in e-science T Kosar, M Balman, E Yildirim, S Kulasekaran, B Ross Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2011 | 36 | 2011 |
A highly-accurate and low-overhead prediction model for transfer throughput optimization JY Kim, E Yildirim, T Kosar 2012 SC Companion: High Performance Computing, Networking Storage and …, 2012 | 22 | 2012 |
Optimizing the sample size for a cloud-hosted data scheduling service E Yildirim, J Kim, T Kosar Proc. 2nd Int. Workshop Cloud Computing. Sci. Appl, 2012 | 20 | 2012 |
Modeling throughput sampling size for a cloud-hosted data scheduling and optimization service E Yildirim, J Kim, T Kosar Future Generation Computer Systems 29 (7), 1795-1807, 2013 | 19 | 2013 |
Parallel vs. Distributed Data Access for Giga-pixel-resolution Histology Images: Challenges and Opportunities E Yildirim, D Foran IEEE Journal of Biomedical and Health Informatics, 2016 | 10 | 2016 |
Data-intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management, ch. Data-aware Distributed Computing E Yildirim, M Balman, T Kosar IGI-Global, 2012 | 5 | 2012 |
Data-aware distributed computing E Yildirim, M Balman, T Kosar Data Intensive Distributed Computing: Challenges and Solutions for Large …, 2012 | 2 | 2012 |
Performance-efficient distributed transfer and transformation of big spatial histopathology datasets in the cloud E Yildirim Journal of Big Data 8 (1), 155, 2021 | 1 | 2021 |
Introduction to Computers and Programming using Python: A Project-based Approach E Yildirim, D Garbin, M Sassolas, KH Kim | 1 | 2021 |
A Distributed Deep Memory Hierarchy System for Content-based Image Retrieval of Big Whole Slide Image Datasets E Yildirim, S Duan, X Qi 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing (MCHPC …, 2019 | 1 | 2019 |