| Data movement aware computation partitioning X Tang, O Kislal, M Kandemir, M Karakoy Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 55 | 2017 |
| Distributed deep learning on data systems: A comparative analysis of approaches Y Zhang, F Mcquillan, N Jayaram, N Kak, E Khanna, O Kislal, D Valdano, ... Proceedings of the VLDB Endowment 14 (10), 2021 | 33 | 2021 |
| Enhancing computation-to-core assignment with physical location information O Kislal, J Kotra, X Tang, MT Kandemir, M Jung ACM SIGPLAN Notices 53 (4), 312-327, 2018 | 20 | 2018 |
| Cache-aware approximate computing for decision tree learning O Kislal, MT Kandemir, J Kotra 2016 IEEE International Parallel and Distributed Processing Symposium …, 2016 | 17 | 2016 |
| POSTER: Location-Aware Computation Mapping for Manycore Processors O Kislal, J Kotra, X Tang, MT Kandemir, M Jung 2017 26th International Conference on Parallel Architectures and Compilation …, 2017 | 13 | 2017 |
| Architecture-aware approximate computing M Karakoy, O Kislal, X Tang, MT Kandemir, M Arunachalam Proceedings of the ACM on Measurement and Analysis of Computing Systems 3 (2 …, 2019 | 10 | 2019 |
| Quantifying and Optimizing Data Access Parallelism on Manycores J Ryoo, O Kislal, X Tang, MT Kandemir 2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation …, 2018 | 9 | 2018 |
| Optimizing sparse matrix vector multiplication on emerging multicores O Kislal, W Ding, M Kandemir, I Demirkiran 2013 IEEE 6th International Workshop on Multi-/Many-core Computing Systems …, 2013 | 7 | 2013 |
| Image classification in greenplum database using deep learning OR Albertini, D Bhargov, A Denissov, F Guerrero, N Jayaram, N Kak, ... Proceedings of the International Conference on Management of Data, 1-4, 2020 | 6 | 2020 |
| Reuse distance based performance modeling and workload mapping SP Muralidhara, M Kandemir, O Kislal Proceedings of the 9th Conference on Computing Frontiers, 193-202, 2012 | 6 | 2012 |
| Data access skipping for recursive partitioning methods O Kislal, MT Kandemir Computer Languages, Systems & Structures 53, 143-162, 2018 | 3 | 2018 |
| Improving the performance of k-means clustering through computation skipping and data locality optimizations O Kislal, P Berman, M Kandemir Proceedings of the 9th conference on Computing Frontiers, 273-276, 2012 | 2 | 2012 |
| Hardware-Aware Computation Reorganization for Memory Intensive Applications OM Kislal The Pennsylvania State University, 2018 | | 2018 |
| Tech Report of Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches Y Zhang, A Kumar, F McQuillan, N Jayaram, N Kak, E Khanna, O Kislal, ... | | |
