University of Twente
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dr.ir. N. Alachiotis (Nikolaos)

Assistant Professor

About Me

Nikolaos Alachiotis completed his undergraduate studies at the ECE department of the Technical University of Crete (Greece) and his Ph.D. at the Informatics department of the Technische Universität München (Germany) in 2008 and 2012, respectively. His research interests lie in the fields of computer architecture, parallel computing, reconfigurable computing, and Bioinformatics. He joined the Computer Architecture Lab at Carnegie Mellon University as a post-doctoral researcher in 2014, where he led the design of a generic acceleration architecture for 3D-stacked DRAMs (DARPA-funded PERFECT project). He joined the Computer Architecture and VLSI Systems Laboratory at FORTH-ICS in September 2016, where he worked on architecture design and hardware development for specialized acceleration in disaggregated datacenters (EU-funded dReDBox project). In June 2019, he joined the Telecommunications Systems Research Institute to work on automated generation of hardware-accelerated software for deployment on the cloud (EU-funded EDRA project). He is with the CAES group at UT since June 2020.

Expertise

Engineering & Materials Science
# Data Storage Equipment
# Dna
# Field Programmable Gate Arrays (Fpga)
# Genomics
# Particle Accelerators
# Phylogeny
Mathematics
# Field Programmable Gate Array
Medicine & Life Sciences
# Genome

Organisations

Publications

Recent
Forlin, B. E., van Huffelen, W., Cazzaniga, C., Rech, P. , Alachiotis, N. , & Ottavi, M. (2023). An unprotected RISC-V Soft-core processor on an SRAM FPGA: Is it as bad as it sounds? In Proceedings - 2023 IEEE European Test Symposium, ETS 2023 (Proceedings IEEE European Test Symposium (ETS); Vol. 2023). IEEE. https://doi.org/10.1109/ETS56758.2023.10174076
Corts, R., Sterenborg, N. , & Alachiotis, N. (2022). Accelerated LD-based selective sweep detection using GPUs and FPGAs. In 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022 (pp. 196-205). IEEE. https://doi.org/10.1109/IPDPSW55747.2022.00044
Sankaran, A., Detterer, P., Kannan, K. , Alachiotis, N., & Corradi, F. (2022). An Event-driven Recurrent Spiking Neural Network Architecture for Efficient Inference on FPGA. In ICONS 2022: Proceedings of International Conference on Neuromorphic Systems 2022 (pp. 1–8). Article 12 Association for Computing Machinery. https://doi.org/10.1145/3546790.3546802
Pennestri, P. , Huang, Y. , & Alachiotis, N. (2022). A novel approximation scheme for floating-point square root and inverse square root for FPGAs. In 2022 11th International Conference on Modern Circuits and Systems Technologies, MOCAST 2022 IEEE. https://doi.org/10.1109/MOCAST54814.2022.9837550
Pfeifer, B., Voicu-Spineanu, A., Schimek, M. G. , & Alachiotis, N. (2022). Integrative hierarchical ensemble clustering for improved disease subtype discovery. In Y. Huang, L. Kurgan, F. Luo, X. T. Hu, Y. Chen, E. Dougherty, A. Kloczkowski, & Y. Li (Eds.), 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 720-725) https://doi.org/10.1109/BIBM52615.2021.9669608
Alachiotis, N., Skrimponis, P., Pissadakis, M., & Pnevmatikatos, D. (2022). Scalable Phylogeny Reconstruction with Disaggregated Near-memory Processing. ACM Transactions on Reconfigurable Technology and Systems, 15(3), 1-32. Article 25. Advance online publication. https://doi.org/10.1145/3484983
Semagn, K., Iqbal, M. , Alachiotis, N., N’Diaye, A., Pozniak, C., & Spaner, D. (2021). Genetic diversity and selective sweeps in historical and modern Canadian spring wheat cultivars using the 90K SNP array. Scientific reports, 11(1), 1-16. Article 23773. https://doi.org/10.1038/s41598-021-02666-5
Irmak, H. , Ziener, D. , & Alachiotis, N. (2021). Increasing Flexibility of FPGA-based CNN Accelerators with Dynamic Partial Reconfiguration. In 2021 31st International Conference on Field-Programmable Logic and Applications (FPL) (pp. 306-311). Article 9556462 IEEE. https://doi.org/10.1109/FPL53798.2021.00061

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Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Courses Academic Year  2022/2023

Contact Details

+31534893633  (if no answer)
 
 

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 5035
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  5035
P.O. Box 217
7500 AE Enschede
The Netherlands

Organisations

University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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