About
Dr. T Vijaykumar is a Professor in the Department of Electrical and Computer Engineering at Purdue University. His research focuses on computer architecture, GPU optimization, machine learning acceleration, and high-performance computing. He leads projects involving hardware-software co-design for energy-efficient systems and secure speculative execution techniques.
His work spans innovations in GPU concurrency, sparse matrix processing, and distributed training frameworks for neural networks. He has contributed to advancements in memory systems, including PIM architectures and address translation optimizations. Recent projects include Proteus (model confidentiality) and Disorf (mobile 3D reconstruction).
Key research themes include accelerating irregular computational graphs, secure hardware design, and efficient data movement in disaggregated systems. His publications reflect a strong emphasis on practical implementations with real-world applications in robotics, genomics, and cloud computing.
Dr. Vijaykumar has received institutional awards for his contributions to computer architecture and holds patents in areas like microfluidics and data center congestion control. He collaborates with industry on GPU kernel design and memory consistency verification frameworks like QED.
