Daniel Jünger, M.Sc.

Research Interests

  • High Performance Computing
  • Optimization of parallel algorithms for CPU & GPU
  • Parallel Architectures

Links

GitHub

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., González-Domínguez, J., and Schmidt, B. (2017). Speed and accuracy improvement of higher-order epistasis detection on CUDA-enabled GPUs. Clust. Comput., 20, 1899-1908.
Jünger, D., Hundt, C., González-Domínguez, J., and Schmidt, B. (2017). Ultra-Fast Detection of Higher-Order Epistatic Interactions on GPUs. 421-432. DOI