Frank Winkler Mag. Sc.
Person

Affiliations

Department of Interdisciplinary Application Development and Coordination (IAK)
- Academic Staff
- frank.winkler@tu-dresden.de

Identification Numbers

Scopus author ID	56202790500

T lymphocyte recruitment to melanoma brain tumors depends on distinct venous vessels

Messmer, J. M., Thommek, C., Piechutta, M., Venkataramani, V., Wehner, R., Westphal, D. & Schubert, M. & 10 others, Mayer, C. D., Effern, M., Berghoff, A. S., Hinze, D., Helfrich, I., Schadendorf, D., Wick, W., Hölzel, M., Karreman, M. A. & Winkler, F., 12 Nov 2024, In: Immunity. 57 (2024), 11, p. 2688-2703.e11 27 p.

Research output: Contribution to journal › Research article › Contributed › peer-review

Enabling Performance Analysis of Kokkos Applications with Score-P

Dietrich, R., Winkler, F., Tschüter, R. & Weber, M., 2021, Tools for High Performance Computing 2018/2019. Springer, Cham, p. 169-182 14 p.

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

PIKA: Center-Wide and Job-Aware Cluster Monitoring

Dietrich, R., Winkler, F., Knüpfer, A. & Nagel, W., 14 Sept 2020, 2020 IEEE International Conference on Cluster Computing (CLUSTER). IEEE Computer Society, Washington , p. 424-432 9 p. (IEEE International Conference on Cluster Computing).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

A Feasibility Study on Porting the Community Land Model onto Accelerators using OpenAcc

Wang, D., Wu, W., Ding, W., Hernandez, O. & Winkler, F., 2014, International Journal of Advanced Computer Science and Applications(IJACSA).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Toward Better Understanding of the Community Land Model within the Earth System Modeling Framework

Wang, D., Schuchart, J., Janjustic, T., Winkler, F. & Xu, Y., 2014, Procedia Computer Science, International Conference on Computational Science.

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

View all research output (7)

Score-P: Scalable performance measurement infrastructure for parallel codes (v8.0)

Feld, C. (Data Collector), Jäkel, R. (Data Collector), Lorenz, D. (Data Collector), Wesarg, B. (Data Collector), Schmidl, D. (Data Collector), Tschüter, R. (Data Collector), Oleynik, Y. (Data Collector), Eschweiler, D. (Data Collector), Spazier, J. (Data Collector), Knüpfer, A. (Data Collector), Shende, S. (Data Collector), Millstein, S. (Data Collector), Biersdorff, S. (Data Collector), Markus Geimer, G. (Data Collector), Schlütter, M. (Data Collector), Schmitt, F. (Data Collector), Ziegenbalg, J. (Data Collector), Zhukov, I. (Data Collector), Dietrich, R. (Data Collector), Geyer, R. (Data Collector), Saviankou, P. (Data Collector), Knobloch, M. (Data Collector), Mijaković, R. (Data Collector), Schöne, R. (Data Collector), Winkler, F. (Data Collector), Ilsche, T. (Data Collector), Hermanns, M.-A. (Data Collector), Brendel, R. (Data Collector), Oeste, S. (Data Collector), Herold, C. (Data Collector), Sigl, S. (Data Collector), Hilbrich, T. (Data Collector), Williams, W. R. (Data Collector), Klotz, S. (Data Collector) & Corbin, G. (Data Collector), Technische Universität Dresden, 15 Dec 2022

DOI: https://doi.org/10.5281/ZENODO.5761738, https://perftools.pages.jsc.fz-juelich.de/cicd/scorep/tags/scorep-8.0/scorep-8.0.tar.gz

Dataset: Code

View all research data (1)

Research Portal of the TU Dresden

Frank Winkler Mag. Sc.
Person

Affiliations

Identification Numbers

Related content

T lymphocyte recruitment to melanoma brain tumors depends on distinct venous vessels

Enabling Performance Analysis of Kokkos Applications with Score-P

PIKA: Center-Wide and Job-Aware Cluster Monitoring

A Feasibility Study on Porting the Community Land Model onto Accelerators using OpenAcc

Toward Better Understanding of the Community Land Model within the Earth System Modeling Framework

Score-P: Scalable performance measurement infrastructure for parallel codes (v8.0)