Michiel A. Van Der Vlag, Georgios Smaragdos, Zaid Al-Ars, Christos Strydis (2019), Exploring complex brain-simulation workloads on multi-GPU deployments, In ACM Transactions on Architecture and Code Optimization Volume 16.

J.W. Peltenburg, Jeroen Van Straten, Lars Wijtemans, Lars Van Leeuwen, Zaid Al-Ars, Peter Hofstee (2019), Fletcher: A framework to efficiently integrate FPGA accelerators with apache arrow, Ioannis Sourdis, Christos-Savvas Bouganis, Carlos Alvarez, Leonel Antonio Toledo Diaz, Pedro Valero, Xavier Martorell (Eds.), In Proceedings - 29th International Conference on Field-Programmable Logic and Applications, FPL 2019 p.270-277.

Joost Hoozemans, Rob de Jong, Steven van der Vlugt, Jeroen Van Straten, Uttam Kumar Elango, Zaid Al-Ars (2019), Frame-based Programming, Stream-Based Processing for Medical Image Processing Applications, In Journal of Signal Processing Systems Volume 91 p.47-59.

Nauman Ahmed, Jonathan Lévy, Shanshan Ren, Hamid Mushtaq, Koen Bertels, Zaid Al-Ars (2019), GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data, In BMC Bioinformatics Volume 20 p.1-20.

Shanshan Ren, Nauman Ahmed, Koen Bertels, Zaid Al-Ars (2019), GPU Accelerated Sequence Alignment with Trace-back for GATK HaplotypeCaller, In BMC Genomics Volume 20 p.103-116.

Yande Jiang, Nicoleta Cucu Laurenciu, He Wang, Sorin Dan Cotofana (2019), Graphene Nanoribbon Based Complementary Logic Gates and Circuits, In IEEE Transactions on Nanotechnology Volume 18 p.287-298.

Daniel Kraak, Innocent Agbo, Mottaqiallah Taouil, Said Hamdioui, Pieter Weckx, Stefan Cosemans, Francky Catthoor (2019), Hardware-based aging mitigation scheme for memory address decoder, In 2019 IEEE European Test Symposium (ETS) p.1-6.

Giuseppe Correale, Gianluca Cerrone, Zaid Al-Ars, Koen Bertels (2019), Increase quantum computing technology readiness level through experimentation in space.

Jian Fang, Yvo T.B. Mulder, Jan Hidders, Jinho Lee, H. Peter Hofstee (2019), In-memory database acceleration on FPGAs: a survey, In VLDB Journal Volume 29 (2020) p.33-59.

Anderson Luiz Sartor, Pedro Henrique Exenberger Becker, Stephan Wong, Radu Marculescu, Antonio Carlos Schneider Beck (2019), Machine Learning-Based Processor Adaptability Targeting Energy, Performance, and Reliability, L. O'Conner (Eds.), In 2019 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2019 p.158-163.