She has worked on understanding and improving the performance of workloads on various POWER architectures for over a decade. Her experience spans online transaction processing systems, highly virtualized environments, edge-of-network appliances, Big Data frameworks, business analytics applications, and several others. She is currently focused on understanding emerging workload areas including in-memory databases and various analytics platforms, and their implications on the design of future POWER systems. Sujatha received her M.S. in Computer Science from Texas A&M University and her Ph.D. in Computer Engineering from the University of Texas at Austin.