Daniel Jünger, M.Sc.

Jünger, Daniel

High Performance Computing
Academic Staff Member

Email: juenger@uni-mainz.de

Website: https://www.hpc.informatik.uni-mainz.de/daniel-juenger

Portrait Jünger, Daniel

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., 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