基本信息
views: 252
Career Trajectory
Bio
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.
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.
Research Interests
Papers共 249 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)pp.1-6, (2024)
2024 IEEE Nordic Circuits and Systems Conference (NorCAS)pp.1-6, (2024)
Physical Review Appliedno. 3 (2024)
CoRR (2024)
Cited0Views0EIBibtex
0
0
Anna M. Krol,Marvin Erdmann, Rajesh Mishra, Phattharaporn Singkanipa,Ewan Munro,Marcin Ziolkowski,Andre Luckow,Zaid Al-Ars
arXiv (Cornell University) (2024)
arXiv (Cornell University) (2024)
arXiv (Cornell University) (2024)
arXiv (Cornell University) (2024)
Load More
Author Statistics
#Papers: 251
#Citation: 2866
H-Index: 26
G-Index: 43
Sociability: 6
Diversity: 3
Activity: 50
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn