Research

My main research interests include High-Performance Computing (HPC),  parallel and distributed algorithms, cloud computing,  I/O, resource management, and optimization.

Highlights:

• I'm currently working on the ADMIRE European project.

• During my Ph.D., I studied the scheduling problem of BoT applications in cloud environments. This study led to the development of HADS,  a framework for scheduling applications on spot VMs.  My thesis is available in: PDF Link

• As a post-doc at INRIA Bordeaux, I developed the simulation for IO-Sets, an I/O scheduling heuristic.

• Update: I will be an AD/AE appendices reviewer of reproducibility for SC23.

Selected Publications:

•  F. Boito, G. Pallez, L. Teylo and N. Vidal. IO-SETS: Simple and efficient approaches for I/O bandwidth management. IEEE Transactions on Parallel and Distributed Systems} , 2023.  PDF Link

• F. Boito, G, Pallez and L. Teylo. The role of storage target allocation in applications’ I/O performance with BeeGFS. IEEE International Conference on Cluster Computing (Cluster), Heidelberg, 2022.  PDF Link

•    L. Teylo, A. L. Nunes, A. C. M. A. Melo, C. Boeres, L. Drummond, N. Martins. Comparing SARS-CoV-2 Sequences using a Commercial Cloud with a Spot Instance Based Dynamic Scheduler, The 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Melbourne, 2021. PDF Link

 For a complete list of my publications, please see Google Scholar.

Contact me

luan.teylo@inria.fr