Ph.D. student in the Efficient Computing and Storage Group
Johannes Gutenberg – Universität Mainz
Anselm-Franz-von-Bentzel-Weg 12
55128 Mainz, Germany
Phone: +49 6131 39 26414
Fax: +49 6131 3926407
Email: afrankra@uni-mainz.de
About
Alvaro Frank is a Ph.D. student at the Johannes Gutenberg-Universität Mainz. He holds a Bachelor degree in Computer Science from the University of Costa Rica and a Master degree from the German Research School for Simulation Sciences at the RWTH Aachen University. His Master Thesis was supervised at the High-Performance and Automatic Computing group and focused on HPC Algorithms for genetic studies. In the summer of 2014 he conducted an Industry oriented open-source project at the Helmholtz Zentrum München based on his master thesis. Additionally to his research in efficient computing, scheduling and load balancing, he has interests in high performance algorithms for scientific applications.
2021
- Alvaro Frank, Manuel Baumgartner, Reza Salkhordeh, and André Brinkmann. 2021. Improving checkpointing intervals by considering individual job failure probabilities. In 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS), 209–309. DOI
2019
- Alvaro Frank, Dai Yang, Tim Süß, Martin Schulz, and André Brinkmann. Reducing False Node Failure Predictions in HPC. In 26th IEEE International Conference on High Performance Computing, Data and Analytics (HiPC). DOI
- Alvaro Frank, Tim Süß, and André Brinkmann. Effects and benefits of node sharing strategies in HPC batch systems. In Proceedings of the 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS), 43–53. DOI