Anand Venkat is a Research Scientist within the Machine Programming Research(MPR) group at Intel Labs where he focuses on compiler optimizations for High Performance Computing(HPC) and Machine Learning(ML) applications. He received his PhD in computer science from the University of Utah. His research interests primarily include polyhedral compilation, compilers for deep neural networks, machine programming and sparse matrix computations.
Research Areas:
Compilers & Software Tools
Machine Learning
Parallel Computing