Fazlay Rabbi is a PhD student in Computer Science Department at Michigan State University. He is working under Dr. Hasan Metin Aktulga. His research interests are in the area of parallel algorithms, high performance computing and data-intensive computing. Especially, he is interested in expressing large sparse matrix computations as directed acyclic data-flow graph (DAG) to accelerate those computations on modern deep memory architectures by minimizing data movement between memory layers and overlapping computations with data movement. As a Summer Intern at Lawrence Berkeley National Laboratory (LBNL) in summer 2019, he studied the performance of OpenMP-4.0+ features designed to offload compute kernels to accelerators. He received his M.S. degree in Electrical Engineering from Michigan State University in 2016. He obtained his B.S. degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh in 2011.
Parallel Application Frameworks
Parallel Programming Languages, Libraries, and Models
Scientific Computing
Software Engineering
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