Jonas Posner

Wissenschaftlicher Mitarbeiter

Anschrift Universität Kassel
Fachgebiet Programmiersprachen/-methodik
Fachbereich 16 Elektrotechnik/Informatik
Wilhelmshöher Allee 71-73
34121 Kassel
Gebäude: WA-altes Gebäude (WA 73)

Raum 2309

Telefon +49 561 804-6498
Telefax +49 561 804-6219

Bild von M.Sc. Jonas  Posner


[P20b] Jonas Posner. System-Level vs. Application-Level Checkpointing. Poster Paper. Proc. IEEE Int. Conf. on Cluster Computing (CLUSTER), 2020.

[P20a] Jonas Posner. Locality-Flexible and Cancelable Tasks for the APGAS Library. Poster. EuroHPC Summit Week, PRACEdays, 2020.

[PRF19a] Jonas Posner, Lukas Reitz, and Claudia Fohry. A Comparison of Application-Level Fault Tolerance Schemes for Task Pools. Future Generation Computer Systems (Special Issue), 2019.

[PRF18a] J. Posner, L. Reitz, C. Fohry: Comparison of the HPC and Big Data Java Libraries Spark, PCJ and APGAS; Supercomputing, Parallel Applications Workshop (PAW-ATM), 2018, pp. 11-22.

[FPR18a] C. Fohry, J. Posner, L. Reitz: A Selective and Incremental Backup Scheme for Task Pools; Proc. Int. Conf. on High Performance Computing & Simulation (HPCS), 2018, pp. 621-628.

[PF18b] J. Posner, C. Fohry: Hybrid Work Stealing of Locality-Flexible and Cancelable Tasks for the APGAS Library. The Journal of Supercomputing, Vol. 47, No. 4, 2018, pp. 1435–1448.

[PF18a] J. Posner, C. Fohry: A Java Task Pool Framework providing Fault Tolerant Global Load Balancing. Int. Journal of Networking and Computing, Vol. 8, No. 1, 2018, pp. 2–31.

[PF17b] J. Posner, C. Fohry: A Combination of Intra- and Inter-Place Work Stealing for the APGAS Library. Proc. Int. Conf. on Parallel Processing and Applied Mathematics, Workshop on Language-Based Parallel Programming Models, 2018, Springer LNCS 10778, pp. 234–243.

[P17a] J. Posner: A Generic Reusable Java Framework for Fault-Tolerant Parallelization with the Task Pool Pattern; Poster, PhD Forum Int. Parallel and Distributed Processing Symposium, 2017.

[PF17a] J. Posner, C. Fohry: Fault Tolerance for Cooperative Lifeline-Based Global Load Balancing in Java with APGAS and Hazelcast. Proc. IEEE Int. Parallel and Distributed Processing Symp., Workshop on Advances in Parallel and Distributed Computational Models, 2017, pp. 854–863. Source code

[PF16a] J. Posner, C. Fohry: Cooperation vs. Coordination for Lifeline-Based Global Load Balancing in APGAS. X10 Workshop, 2016, ACM, pp. 13–17.

[FBP15b] C. Fohry, M. Bungart, J. Posner: Fault Tolerance Schemes for Global Load Balancing in X10. Scalable Computing: Practice and Experience, Vol. 16, No. 2, 2015, pp. 169–185. Source code

[FBP15a] C. Fohry, M. Bungart, J. Posner: Towards an Efficient Fault-Tolerance Scheme for GLB. X10 Workshop, 2015, ACM, pp. 27–32.

[BFP14] M. Bungart, C. Fohry, J. Posner: Fault-Tolerant Global Load Balancing in X10. Proc. IEEE Int. Symp. on Symbolic and Numeric Algorithms for Scientific Computing, pp. 471–478. Source code