Tony Nowatzki

Tony Nowatzki is an Associate Professor in the Department of Computer Science at the University of California, Los Angeles. His research focuses on hardware/software co-design, modeling, and optimization. He has contributed to notable publications in conferences such as ISCA, HPCA, and ASPLOS, with works on stream-dataflow acceleration, accelerator efficiency, and constraint-centric scheduling. His research has been recognized with awards, including the MICRO Best Paper Runner-Up Award and the NSF Career Award. Nowatzki's work includes the development of simulation tools and frameworks for computer architecture, and he is affiliated with the UCLA Samueli School of Engineering.

Tony Nowatzki is a researcher in Computer Architecture at the University of California, Los Angeles. His work focuses on enhancing energy efficiency and programmability in computing systems through innovative hardware and software techniques. He has explored the design of specialized accelerators for tasks such as sparse tensor computations and graph processing, emphasizing flexibility and performance. His research includes the development of dataflow architectures, programmable accelerators, and compiler frameworks that enable efficient execution of irregular and sparse workloads. Nowatzki's contributions span from architectural simulation to the integration of accelerators into existing systems, with a strong emphasis on reducing energy consumption while maintaining general-purpose capabilities.