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
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
- 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
- 2021
- 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
- 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
- 2020
- 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
- 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
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
- 2019
- Published
Incremental flattening for nested data parallelism
Henriksen, Troels, Thorøe, F., Elsman, Martin & Oancea, Cosmin Eugen, 16 Feb 2019, PPoPP 2019 - Proceedings of the 24th Principles and Practice of Parallel Programming. Association for Computing Machinery, p. 53-67Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Bigger buffer k-d trees on multi-many-core systems
Gieseke, Fabian Cristian, Oancea, Cosmin Eugen, Mahabal, A., Igel, Christian & Heskes, T., 2019, High Performance Computing for Computational Science – VECPAR 2018: 13th International Conference, São Pedro, Brazil, September 17–19, 2018, Revised Selected Papers. Springer, p. 202-214 (Lecture Notes in Computer Science, Vol. 11333).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- 2018
- Published
Modular Acceleration: Tricky Cases of Functional High-performance Computing
Henriksen, Troels, Elsman, Martin & Oancea, Cosmin Eugen, 2018, FHPC 2018 - Proceedings of the 7th ACM SIGPLAN International Workshop on Functional High-Performance Computing, co-located with ICFP 2018. Rainey, M. & Davis, K. (eds.). New York, NY, USA: Association for Computing Machinery, p. 10-21 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Static Interpretation of Higher-order Modules in Futhark: Functional GPU Programming in the Large
Elsman, Martin, Henriksen, Troels, Annenkov, D. & Oancea, Cosmin Eugen, 2018, Proceedings of the ACM on Programming Languages. ICFP ed. Association for Computing Machinery, Vol. 2. p. 97:1-97:30 30 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2017
- Published
bufferkdtree: a Python library for massive nearest neighbor queries on multi-many-core devices
Gieseke, Fabian Cristian, Oancea, Cosmin Eugen & Igel, Christian, 15 Mar 2017, In: Knowledge-Based Systems. 120, p. 1-3 3 p.Research output: Contribution to journal › Journal article › Research
- Published
Futhark: purely functional GPU-programming with nested parallelism and in-place array updates
Henriksen, Troels, Serup, N. G. W., Elsman, Martin, Henglein, Fritz & Oancea, Cosmin Eugen, 2017, Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation. Association for Computing Machinery, p. 556-571 16 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2016
- Published
APL on GPUs: a TAIL from the Past, scribbled in Futhark
Henriksen, Troels, Dybdal, M., Urms, H., Kiehn, A. S., Gavin, D., Abelskov, H., Elsman, Martin & Oancea, Cosmin Eugen, 2016, Proceedings of the 5th International Workshop on Functional High-Performance Computing. Association for Computing Machinery, p. 38-43 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Design and GPGPU performance of Futhark's redomap construct
Henriksen, Troels, Larsen, Ken Friis & Oancea, Cosmin Eugen, 2016, Proceedings of the 3rd ACM SIGPLAN International Workshop on Libraries, Languages, and Compilers for Array Programming. Association for Computing Machinery, p. 17-24 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
FinPar: a parallel financial benchmark
Andreetta, C., Begot, V., Berthold, J., Elsman, Martin, Henglein, Fritz, Henriksen, Troels, Nordfang, M. & Oancea, Cosmin Eugen, 2016, In: ACM Transactions on Architecture and Code Optimization (TACO). 13, 2, p. 1 27 p., 18.Research output: Contribution to journal › Journal article › Research › peer-review
- 2015
- Published
A financial benchmark for GPGPU compilation
Andreetta, C., Begot, V., Berthold, J., Elsman, Martin, Henriksen, Troels, Nordfang, M. & Oancea, Cosmin Eugen, 2015, Department of Computer Science, Faculty of Science, University of Copenhagen. 16 p.Research output: Book/Report › Report › Research
- Published
Scalable conditional induction variables (CIV) analysis
Oancea, Cosmin Eugen & Rauchwerger, L., 2015, Proceedings of the 13th Annual IEEE/ACM International Symposium on Code Generation and Optimization (CGO'15). IEEE Computer Society Press, p. 213-224 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2014
- Published
Bounds checking: an instance of hybrid analysis
Henriksen, Troels & Oancea, Cosmin Eugen, 2014, Proceedings of ACM SIGPLAN International Workshop on Libraries, Languages, and Compilers for Array Programming . Association for Computing Machinery, p. 88-94 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Gieseke, Fabian Cristian, Heinermann, J., Oancea, Cosmin Eugen & Igel, Christian, 2014, Proceedings of the 31st International Conference on Machine Learning, Beijing, China, 2014. 9 p. (JMLR: Workshop and Conference Proceedings, Vol. 32).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Size slicing: a hybrid approach to size inference in futhark
Henriksen, Troels, Elsman, Martin & Oancea, Cosmin Eugen, 2014, Proceedings of the 3rd ACM SIGPLAN workshop on Functional High-Performance Computing. Association for Computing Machinery, p. 31-42 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Speedy greedy feature selection: better redshift estimation via massive parallelism
Gieseke, Fabian Cristian, Polsterer, K. L., Oancea, Cosmin Eugen & Igel, Christian, 2014, ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (ed.). i6doc.com, p. 87-92 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 36023371
Most downloads
-
2314
downloads
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 -
35
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