Kunal Agrawal

Kunal Agrawal is a Professor in the Department of Computer Science & Engineering at the McKelvey School of Engineering, Washington University in St. Louis. She holds a PhD from MIT (2009), an MS from the National University of Singapore (2002), and a BE from Mumbai University (2001). Her research focuses on parallel computing, runtime systems for parallel programming, scheduling, transactional memory, and cache-aware/streaming algorithms. She joined WashU in 2009 after working with MIT's Supercomputing Technologies Group.

Her 2012 NSF CAREER Award supports developing concurrency platforms for high-throughput parallel programs. Collaborative projects include enhancing atmospheric simulation software (GEOS-Chem) and studying novel computer memory properties. She also contributed to an NSF-funded study on interactive parallel applications. Her lab explores foundational challenges in parallel system design.

• Lab Website: Link
• Google Scholar Profile: Link

Research emphasizes bridging theoretical guarantees with practical efficiency in parallel systems, addressing scalability and resource management in real-time environments.