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 ECE569: High Performance Computing and Architectures
In this class, we investigate the high performance computing systems
with a focus on GPU architecture and its programming environment
through series of CUDA based programming on a P100 based cluster.
You may refer to the Course Overview document and also ECE569 Spring 2017 Syllabus to get an idea about the course. In Fall 2018, I am teaching ECE369A: Fundamentals
of Computer Organization Office Hours
Fridays 11:00-1:00 in ECE302 Lab ULA Positions for Spring 2018-Spring 2019 RA Positions for Fall
In Fall 2018, I am teaching ECE369A: Fundamentals of Computer Organization
Fridays 11:00-1:00 in ECE302 Lab
ULA Positions for Spring 2018-Spring 2019
RA Positions for Fall