Summary
Mayank Parasar is a GPU architecture specialist with a Ph.D. from Georgia Tech and a decade of experience designing and modeling memory, cache, and interconnect subsystems for leading semiconductor companies. He has driven GPU memory and shader subsystem work at Apple and led mobile GPU pipeline and memory controller modeling at Samsung, blending RTL/Verilator modeling with HW/SW co-design to boost cache efficiency and performance. His doctoral research produced practical deadlock-free interconnect techniques that reduce area and power, reflecting a bias for elegant, resource-efficient solutions. Comfortable across research and production environments, he has hands-on experience with atomics, floating-point validation, encryption-aware memory features, and driver-dependent hardware features. Based in San Jose, he pairs academic rigor with delivery-focused engineering to push next-generation GPU architectures.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Engineering, Doctor of Philosophy (Ph.D.) Computer Engineering at Georgia Institute of Technology
High School, High School at Little Flower Senior Secondary Public School
Bachelor’s Degree B.E Computer Science, Bachelor’s Degree B.E Computer Science at Delhi College of Engineering
Bachelor’s Degree Instrumentation Engineering, Bachelor’s Degree Instrumentation Engineering at Indian Institute of Technology, Kharagpur
English, Hindi