Cosmin Eugen Oancea

Cosmin Eugen Oancea

Associate Professor

ORCID: 0000-0001-5421-6876

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  1. 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

  2. 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

  3. Parametric polymorphism for computer algebra software components

    Chicha, Y., Lloyd, M., Oancea, Cosmin Eugen & Watt, S. M., 2004, Proc. 6th International Symposium on Symbolic and Numeric Algorithms for Scientific Comput. (SYNASC'04). p. 119-130 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. 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

  5. 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 9101616

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. 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

  7. 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

  8. 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

  9. 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

  10. Published

    A T2 graph-reduction approach to fusion

    Henriksen, Troels & Oancea, Cosmin Eugen, 2013, Proceedings of the 2nd ACM SIGPLAN Workshop on Functional High-Performance Computing (FHPC'13). Association for Computing Machinery, p. 47-58 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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