Hello! I’m Vidush Singhal, a 4th-year Ph.D. student in the Department of Electrical and Computer Engineering at Purdue University. I am fortunate to be advised by Professor Milind Kulkarni.

My research primarily focuses on compilers, with an emphasis on static analysis to enhance runtime performance of irregular programs, even at the cost of higher compile times. I am particularly interested in automatic parallelization and vectorization to enhance runtime performance and increase resource utilization. Additionally, I am focusing on data layout optimization to improve the spatial locality of irregular programs.

Before joining the Ph.D. program at Purdue University, I earned my Bachelor of Science in Computer Engineering from Purdue. During my Ph.D. journey, I have had the opportunity to intern at notable organizations such as Nod.ai and Lawrence Livermore National Labs.

Research Areas of Interest

• Compilers
• Automatic Parallelization and Vectorization
• Data Layout Optimization
• Compilers for GPU
• High Performance Computing

Current Status

• Position: Research Assistant @Purdue University
• Date started: Fall 2021
• Address: Electrical Engineering Building, 465 Northwestern Ave, West Lafayette, IN 47907
• Email: singhav@purdue.edu

Education

• 🎓 B.Sc. in Computer Engineering
  • Institution: Purdue University, West Lafayette, IN, USA
  • Graduation Year: 2021