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Publications

[NRF24] R. Nather, M. Reitz, C. Fohry: Distributed, Resilient and In-Memory Storage of Key-Value Data for HPC. WIP talk, Supercomputing: International Parallel Data System Workshop (PDSW), 2024.

[RGHF24a] Reitz, Gerhards, Hundhausen, Fohry: Investigating the Performance Difference of Task Communication via Futures or Side Effects. Proc. European Conf. on Parallel Processing. Workshop on Asynchronous Many-Task Systems for Exascale (AMTE), 2024. to appear.

[RF24a] Reitz, Fohry: Task-Level Checkpointing and Localized Recovery to Tolerate Permanent Node Failures for Nested Fork-Join Programs in Clusters. Springer Nature Computer Science (Special Issue), Vol. 5, No. 320, 2024.

[RF23a] Reitz, Fohry: Task-Level Checkpointing for NFJ Programs using Work Stealing. Proc. European Conf. on Parallel Processing. Workshop on Asynchronous Many-Task Systems for Exascale, 2023, pp. 102-114.

[RHWF23a] Reitz, Hardenbicker, Werner, Fohry: Lifeline-based Load Balancing Schemes for Asynchronous Many-Task Runtimes in Clusters. Parallel Computing (Special Issue), Vol. 116, 2023.

[RHF22a] Reitz, Hardenbicker, Fohry: Comparison of Load Balancing Schemes for Asynchronous Many-Task Runtimes. Proc. Int. Conf. on Parallel Processing and Applied Mathematics, Workshop on Language-Based Parallel Programming Models, 2022, pp. 14-26.

[PRF22a] Posner, Reitz, Fohry: Task-Level Resilience: Checkpointing vs. Supervision. Int. Journal of Networking and Computing, Vol. 12, No. 1, 2022.

[R21b] Reitz: Load Balancing Policies for Nested Fork-Join. Poster Paper. Proc. IEEE Int. Conference on Cluster Computing (CLUSTER), 2021, pp. 817-818.

[R21a] Reitz: Task-Level Checkpointing for Nested Fork-Join Programs. Poster. PhD Forum Int. Parallel and Distributed Processing Symposium, 2021.

[PRF21a] Posner, Reitz, Fohry: Checkpointing vs. Supervision Resilience Approaches for Dynamic Independent Tasks. Proc. IEEE Int. Parallel and Distributed Processing Symposium, Workshop on Advances in Parallel and Distributed Computational Models, 2021, pp. 556-565.

[PRF19a] Posner, Reitz, Fohry. A Comparison of Application-Level Fault Tolerance Schemes for Task Pools. Future Generation Computer Systems (Special Issue), Vol. 105, April 2020.

[PRF18a] Posner, Reitz, 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] Fohry, Posner, Reitz: A Selective and Incremental Backup Scheme for Task Pools; Proc. Int. Conf. on High Performance Computing & Simulation (HPCS), 2018, pp. 621-628.