Jünger, Daniel
High Performance Computing
Academic Staff Member
Email: juenger@uni-mainz.de
Website: https://www.hpc.informatik.uni-mainz.de/daniel-juenger
Research Interests
- High Performance Computing
- Optimization of parallel algorithms for CPU & GPU
- Parallel Architectures
Links
Publications
2021
Kobus, R., Müller, A., Jünger, D., et al. (2021). MetaCache-GPU: Ultra-Fast Metagenomic Classification. Author/Publisher URL
2020
Jünger, D., Kobus, R., Müller, A., et al. (2020). WarpCore: A Library for fast Hash Tables on GPUs. Author/Publisher URL
Jünger, D., Kobus, R., Müller, A., et al. (2020). WarpCore: A Library for fast Hash Tables on GPUs. HiPC, 11-20. Author/Publisher URL
2019
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
2018
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
2017
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