Tanveer Ahmad, Zaid Al-Ars, H. Peter Hofstee (2022), Benchmarking Apache Arrow Flight - A wire-speed protocol for data transfer, querying and microservices, In Proceedings of the 4th Benchmarking in the Datacenter: Expanding to the Cloud 2022, Association for Computing Machinery (ACM).

Baozhou Zhu, Peter Hofstee, Jinho Lee, Zaid Al-Ars (2021), An Attention Module for Convolutional Neural Networks, Igor Farkaš, Paolo Masulli, Sebastian Otte, Stefan Wermter (Eds.), In Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings Volume 12891 p.167-178, Springer.

Johan Peltenburg, Lars T.J. Van Leeuwen, Joost Hoozemans, Jian Fang, Zaid Al-Ars, H.Peter Hofstee (2021), Battling the CPU Bottleneck in Apache Parquet to Arrow Conversion Using FPGA, In 2020 International Conference on Field-Programmable Technology (ICFPT) p.281-286, IEEE .

Joost Hoozemans, Johan Peltenburg, Fabian Nonnenmacher, Ákos Hadnagy, Zaid Al-Ars, H. Peter Hofstee (2021), FPGA Acceleration for Big Data Analytics: Challenges and Opportunities, In IEEE Circuits and Systems Magazine Volume 21 p.30-47.

Johan Peltenburg, Jeroen van Straten, Matthijs Brobbel, Zaid Al-Ars, H. Peter Hofstee (2021), Generating high-performance FPGA accelerator designs for big data analytics with Fletcher and Apache Arrow, In Journal of Signal Processing Systems: the journal of DSPtechnologies Volume 93 p.565-586.

T. Ahmad, Z. Al-Ars, H.P. Hofstee (2021), VC@Scale: Scalable and high-performance variant calling on cluster environments, In GigaScience p.1-13.

Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, Peter Hofstee (2020), An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic, In Journal of Signal Processing Systems Volume 92 p.931-947.

Baozhou Zhu, Zaid Al-Ars, H. Peter Hofstee (2020), NASB: Neural Architecture Search for Binary Convolutional Neural Networks, In 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings p.1-8, IEEE .

Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee (2020), Optimizing performance of GATK workflows using Apache Arrow In-Memory data framework, In BMC Genomics Volume 21 p.1-14.

Baozhou Zhu, Zaid Al-Ars, H. Peter Hofstee (2020), ReAF: Reducing approximation of channels by reducing feature reuse within convolution, In IEEE Access Volume 8 p.169957-169965.