Vidushi Dadu is a Systems Research Engineer in the Systems Research Group. She received her Ph.D. in computer architecture at UCLA where she designed programmable accelerators specialized for both regular and irregular workloads.

Before joining Google, Vidushi interned at Microsoft and used performance characterization tools to identify processor and system-level bottlenecks of Spark SQL. She also interned at Intel and developed a trace representation of memory access patterns for spatial architectures such as FPGAs and CGRAs.

Her Interests include accelerator design, spatial architectures, hardware software co-design, and performance characterization.