Robin Kobus, M.Sc.

Kobus, Robin

High Performance Computing
Academic Staff Member

Visitor Address:

PhysMat - 03-130

Phone: +49 6131 39 29551

Email: kobus@uni-mainz.de

Website: https://www.hpc.informatik.uni-mainz.de/robin-kobus/

Portrait Kobus, Robin

Research Interests

  • High Performance Computing
  • Design and optimization of parallel algorithms for CPU & GPU
  • Massively Parallel Architectures
  • Concurrent data structures
  • Metagenomic Classification & Abundance Estimation

Links

GitHub

Teaching

  • WT 2017/18: Exercises for "Technische Informatik" lecture
  • ST 2017: Exercises for "Formale Sprachen und Berechenbarkeit" lecture
  • WT 2020/21: Exercises and tutorial for "Accelerated Computing with GPU" lecture
  • WT 2020/21: CUDA Parallel Programming practical course
  • ST 2021: Exercises and tutorial for "High Performance Computing" lecture
  • ST 2021: HPC Parallel Programming practical course
  • WT 2021/22: Exercises and tutorial for "Accelerated Computing with GPU" lecture
  • WT 2021/22: CUDA Parallel Programming practical course
  • ST 2022: Exercises and tutorial for "High Performance Computing" lecture
  • ST 2022: HPC Parallel Programming practical course
  • WT 2022/23: Exercises and tutorial for "Accelerated Computing with GPU" lecture

Publications

2022

Juenger, D., Kobus, R., Mueller, 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 Author/Publisher URL

2021

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

2020

Jünger, D., Kobus, R., Müller, A., et al. (2020). WarpCore: A Library for fast Hash Tables on GPUs. Author/Publisher URL
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
Kobus, R., Abuin, J. M., Mueller, A., et al. (2020). A big data approach to metagenomics for all-food-sequencing. BMC BIOINFORMATICS, 21(1). DOI 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. Published. HPDC ’19: The 28th International Symposium on High-Performance Parallel and Distributed Computing. DOI

2018

Kobus, R., Lamoth, A., Muller, A., et al. (2018, December). cuBool: Bit-Parallel Boolean Matrix Factorization on CUDA-Enabled Accelerators. 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS). Published. 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS). DOI
Xu, K., Kobus, R., Chan, Y., et al. (2018). SPECTR: Scalable Parallel Short Read Error Correction on Multi-core and Many-core Architectures. ICPP, 39:1-39:1. Author/Publisher URL

2017

Kobus, R., Hundt, C., Müller, A., and Schmidt, B. (2017). Accelerating metagenomic read classification on CUDA-enabled GPUs. BMC Bioinformatics, 18(11), 10 S. Author/Publisher URL