Daniel Jünger, M.Sc.

Jünger, D., Kobus, R., Müller, A., et al. (2022). General-purpose GPU hashing data structures and their application in accelerated genomics. Journal of Parallel and Distributed Computing, 163, 256-268. DOI

Kobus, R., Müller, A., Jünger, D., et al. (2021). MetaCache-GPU: Ultra-Fast Metagenomic Classification.

Juenger, D., Kobus, R., Mueller, A., et al. (2020). WarpCore: A Library for fast Hash Tables on GPUs. 2020 IEEE 27TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, AND ANALYTICS (HIPC 2020), 11-20. DOI Author/Publisher URL

Jünger, D., Kobus, R., Müller, A., et al. (2020). WarpCore: A Library for fast Hash Tables on GPUs. CoRR, abs/2009.07914.

Kobus, R., Jünger, D., Hundt, C., and Schmidt, B. (2019, August 5). Gossip: Efficient Communication Primitives for Multi-GPU Systems. Proceedings of the 48th International Conference on Parallel Processing. Published. ICPP 2019: 48th International Conference on Parallel Processing. DOI

Büren, F., Jünger, D., Kobus, R., et al. (2019, June 17). Suffix Array Construction on Multi-GPU Systems. Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing. HPDC ’19: The 28th International Symposium on High-Performance Parallel and Distributed Computing. DOI

Junger, D., Hundt, C., and Schmidt, B. (2018, May). WarpDrive: Massively Parallel Hashing on Multi-GPU Nodes. 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS). Published. 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS). DOI

Jünger, D., Hundt, C., Domínguez, J. G., and Schmidt, B. (2017). Speed and accuracy improvement of higher-order epistasis detection on CUDA-enabled GPUs. Cluster Computing, 20(3), 1899-1908. DOI

Jünger, D., Hundt, C., González-Domínguez, J., and Schmidt, B. (2017). Ultra-Fast Detection of Higher-Order Epistatic Interactions on GPUs. 421-432. DOI