Alireza Khadem
Research Scientist at Google
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolAlireza Khadem is a research scientist specializing in hardware–software co-design with eight years of experience optimizing memory systems and accelerating ML workloads, now focused on improving Gemini serving performance across Google’s TPU datacenters. He holds a PhD from the University of Michigan where he developed processing-in-memory solutions and performance models for LLMs, CNNs, and GNNs, and has interned at Apple and Microsoft Research on design-space exploration and communication-performance modeling. Comfortable bridging circuit-level ideas to large-scale system deployments, he has built domain-specific accelerators, implemented FPGA prototypes, and taught graduate courses in computer architecture and GPU programming. Based in Sunnyvale, his work uniquely blends hands-on hardware design and empirical performance characterization to make large-scale GenAI serving both faster and more efficient.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at University of MichiganBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at University of TehranHigh School Diploma, Mathematics, High School Diploma, Mathematics at Shahid Beheshti High School, Kashan
Stackoverflow
1reputation
370reached
0answers
1question
Github Skills (68)
cal10
ieee10
convolutional-neural-networks9
simulator9
simulation9
pdf9
modeling9
architecture8
intel8
extensible8
multithreading8
process-monitoring8
amdgpu8
nvidia8
cpu8
Programming languages (3)
Github contributions (5)
arkhadem/CORN
May 2018 - Jan 2024
Contributions:7 pushes, 2 branches in 5 years 9 months
arkhadem/ramulator
Jan 2022 - Dec 2024
A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the IEEE CAL 2015 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf
Contributions:132 pushes, 7 branches in 2 years 10 months
edudrampdftechnologiesproposals
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