Cosmin Eugen Oancea
Associate Professor
Programming Languages and Theory of Computing
Universitetsparken 5
2100 København Ø
- 2023
- Published
Seasonal-Trend Time Series Decomposition on Graphics Processing Units
Serykh, Dmitry, Oehmcke, Stefan, Oancea, Cosmin Eugen, Masiliunas, D., Verbesselt, J., Cheng, Yan, Horion, Stéphanie, Gieseke, F. & Hinnerskov, Nikolaj Hey, 2023, Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023. He, J., Palpanas, T., Hu, X., Cuzzocrea, A., Dou, D., Slezak, D., Wang, W., Gruca, A., Lin, J. C-W. & Agrawal, R. (eds.). IEEE, p. 5914-5923 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2022
- Published
Compiling a functional array language with non-semantic memory information
Munksgaard, P., Oancea, Cosmin Eugen & Henriksen, Troels, 2022.Research output: Contribution to conference › Paper › Research
- Published
Memory Optimizations in an Array Language
Munksgaard, P., Henriksen, Troels, Sadayappan, P. & Oancea, Cosmin Eugen, 2022, Proceedings of SC 2022: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Computer Society Press, p. 1-15 31Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
AD for an Array Language with Nested Parallelism
Schenck, R., Rønning, Ola, Henriksen, Troels & Oancea, Cosmin Eugen, 2022, Proceedings of SC 2022: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Computer Society Press, 15 p. (International Conference for High Performance Computing, Networking, Storage and Analysis, SC, Vol. 2022-November).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2021
- Published
Dataset Sensitive Autotuning of Multi-versioned Code Based on Monotonic Properties: Autotuning in Futhark
Munksgaard, P., Breddam, S. L., Henriksen, Troels, Gieseke, Fabian Cristian & Oancea, Cosmin Eugen, 2021, Trends in Functional Programming - 22nd International Symposium, TFP 2021, Revised Selected Papers. Zsok, V. & Hughes, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-23 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12834 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
A Functional Approach to Accelerating Monte Carlo based American Option Pricing
Pawlak, W. M., Elsman, Martin & Oancea, Cosmin Eugen, 2021, IFL 2019: Proceedings of the 28th Symposium on the Implementation and Application of Functional Programming Languages. Association for Computing Machinery, p. 1-12 5Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Acceleration of lattice models for pricing portfolios of fixed-income derivatives
Pawlak, W. M., Hlava, M., Metaksov, M. & Oancea, Cosmin Eugen, 2021, ARRAY 2021 - Proceedings of the 7th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming, co-located with PLDI 2021. Low, T. M. & Gibbons, J. (eds.). Association for Computing Machinery, Inc., p. 27-38 12 p. 3464309Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2020
- Published
Massively-parallel change detection for satellite time series data with missing values
Gieseke, Fabian Cristian, Rosca, S., Henriksen, Troels, Verbesselt, J. & Oancea, Cosmin Eugen, 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE, p. 385-396 9101616Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Compiling generalized histograms for GPU
Henriksen, Troels, Hellfritzsch, S., Sadayappan, P. & Oancea, Cosmin Eugen, 2020, Proceedings of SC 2020: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 9355244Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Approximate Nearest-Neighbour Fields via Massively-Parallel Propagation-Assisted K-D Trees
Oancea, Cosmin Eugen, Robroek, T. & Gieseke, Fabian Cristian, 2020, Proceedings of the IEEE International Conference on Big Data (BigData2020). 10 ed. IEEE, p. 5172-5181Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 36023371
Most downloads
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2314
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Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
34
downloads
A Functional Approach to Accelerating Monte Carlo based American Option Pricing
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
21
downloads
Dataset Sensitive Autotuning of Multi-versioned Code Based on Monotonic Properties: Autotuning in Futhark
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published