Juan Fumero Alfonso

Juan Fumero Alfonso

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  • 2019

    Dynamic Application Reconfiguration on Heterogeneous Hardware

    Fumero, J., Papadimitriou, M., Zakkak, F., Xekalaki, M., Clarkson, J. & Kotselidis, C., 14 Apr 2019, (Accepted/In press) 5th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE’19) . p. 165 178 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Towards prototyping and acceleration of Java programs onto intel FPGAS

    Papadimitriou, M., Fumero, J., Stratikopoulos, A. & Kotselidis, C., 2019, Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019. IEEE, 1 p. 8735538. (Proceedings - 27th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2018

    Exploiting High-Performance Heterogeneous Hardware for Java Programs using Graal

    Clarkson, J., Fumero Alfonso, J., Papadimitriou, M., Zakkak, F., Xekalaki, M., Kotselidis, C-E. & Luján, M., 12 Sept 2018, Proceedings of the 15th International Conference on Managed Languages and Runtimes, ManLang 2018 (formerly PPPJ). p. 1-13 13 p. 4. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • ScootR: Scaling R Dataframes on Dataflow Systems

    Kunft, A., Stadler, L., Bonetta, D., Basca, C., Meiners, J., Bress, S., Rabl, T., Fumero Alfonso, J. & Markl, V., 11 Nov 2018, ScootR: Scaling R Dataframes on Dataflow Systems.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Towards Practical Heterogeneous Virtual Machines

    Clarkson, J., Fumero, J., Papadimitriou, M., Xekalaki, M. & Kotselidis, C., 2018, Towards Practical Heterogeneous Virtual Machines.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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