Zaid Al-Ars
About
Zaid Al-Ars is an associate professor at the Computer Engineering Lab of the Delft University of Technology, where he leads the research and education activities of the big data architectures research theme of the lab. His work focuses on addressing the bottlenecks in big data application scalability on multicore architectures and proposing optimized solution alternatives for system performance, memory, power, reliability, etc. The research interests of Dr. Al-Ars include:
- Analysis and development of multicore systems to accelerate big data applications such as bioinformatics
- Methods for application domain analysis and mapping to appropriate multicore architectures (CPU, GPU, FPGA)
- Design and optimization of interconnect solutions to improve system performance and relieve data transfer bottlenecks
- Design, characterization and test process improvement for multicore systems using the abundant computational resources available in these systems
Dr. Al-Ars is also a co-founder of Bluebee, a high-tech startup active in the intersection between the fields of cloud computing, high-performance computing and genomics applications. Prior to joining the TUDelft, Dr. Al-Ars spent a number of years in the Product Engineering Group of Infineon Technologies and Siemens Semiconductors in Munich, Germany, where he was responsible for constructing new test methodologies to reduce the overall cost of the memory production test flow.
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2024
Beyond quantum Shannon decomposition
Circuit construction for n -qubit gates based on block- ZXZ decomposition
Anna M. Krol / Zaid Al-Ars -
2024
Fully Pipelined FPGA Acceleration of Binary Convolutional Neural Networks with Neural Architecture Search
Mengfei Ji / Zaid Al-Ars / Yuchun Chang / Baolin Zhang
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2024
Hardware-Accelerator Design by Composition
Dataflow Component Interfaces with Tydi-Chisel
Casper Cromjongh / Yongding Tian / H. Peter Hofstee / Zaid Al-Ars -
2024
Tina: Acceleration of Non-NN Signal Processing Algorithms Using NN Accelerators
Christiaan Boerkamp / Steven van der Vlugt / Zaid Al-Ars
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2023
A comprehensive performance analysis of sequence-based within-sample testing NIPT methods
T.O. Mokveld / Z. Al-Ars / Erik A. Sistermans / M.J.T. Reinders
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