Simone Campanoni

Simone Campanoni is an Associate Professor in the Department of Computer Science at Northwestern University, with a courtesy appointment in Electrical and Computer Engineering. His research focuses on compilers, computer architecture, runtime systems, and parallel computing. He leads the research lab, emphasizing co-design approaches to address hardware and application trends.

Education: Ph.D., M.S., and B.S. in Information Technologies and Computer Engineering from Politecnico di Milano.

Research Interests: Compilers, memory-centric optimizations, parallelization of sequential code, hardware-software co-design, and resilient architectures. His work includes the NOELLE compiler framework, LLVM extensions, and energy-efficient parallelization techniques.

Recent Work: Contributions include energy-efficient bitwidth speculation, GPU scheduling (GhOST), and compiler-based memory protection (CAMP). His projects often involve collaborations with industry (e.g., Google) and academic partners.

Awards: Best Teacher Award (2018), HiPEAC awards (2014, 2012), and multiple top-tier conference recognitions. His research has been funded by NSF, DOE, and industry grants totaling over $10 million.

Grants & Labs: Leads NSF-funded projects on parallelism, compiler-architecture co-design, and neural network training. His lab develops tools like NOELLE and GINO, open-sourced to advance compiler research.

Team & Students: Advises PhD and Master’s students in parallel computing, memory systems, and compiler design. Notable advisees include Riley Boksenbaum, Tommy McMichen, and Enrico Deiana.