Office phone: (520) 626-5149
Dr. Ali Akoglu is the director of the Reconfigurable Computing Lab, UA site director of the NSF Center for Cloud and Autonomic Computing, and director of the NVIDIA CUDA Teaching Center. He received his Ph.D. degree in Computer Science from the Arizona State University in 2005. Dr. Akoglu is an expert in high performance scientific computing and parallel computing with a primary focus on restructuring computationally challenging algorithms for achieving high performance on field programmable gate array (FPGA) and graphics processing unit (GPU) hardware architectures. He has been involved in many crosscutting collaborative projects with the goal of solving the challenges of bridging the gap between the domain scientist and highly-parallel hardware architectures under the umbrella of organizations such as the BIO5 Institute and CYVERSE. His research projects have been funded by the National Science Foundation, US Air Force, NASA Jet Propulsion Laboratories, Army Battle Command Battle Laboratory, and industry partners such as Nvidia and Huawei.
In Spring 2018, I will be teaching ECE506: Reconfigurable Computing
In this class, we investigate the state-of-the-art in reconfigurable computing both from a hardware and software
perspective; understand both how to architect reconfigurable systems and how to apply them to solving challenging computational problems.
The purpose of this course is to prepare students for engaging in research on reconfigurable computing. You may refer to the tentative syllabus for more information. In Spring
2017, I am teaching ECE274A: Digital Logic and ECE369A: Fundamentals
of Computer Organization Office Hours Mondays
3:00-4:15 and Fridays 1:00-2:15 for ECE274A ULA Positions for Fall
2017 RA Positions for Fall
In Spring 2017, I am teaching ECE274A: Digital Logic and ECE369A: Fundamentals of Computer Organization
3:00-4:15 and Fridays 1:00-2:15 for ECE274A
ULA Positions for Fall 2017
RA Positions for Fall