Anirudh Krishna Villivalam
GPU Architecture Engineer @ NVIDIA
About
I am a Graduate Student for the Masters in Electrical and Computer Engineering at Carnegie Mellon University. My interests are in the fields of Parallel Computing, Computer Architecture and Design.
United States
San Jose
Computer Hardware
Compiler Optimization, Graphics Processing Unit, Verilog, C, Computer Architecture, Research, Analog Circuit Design, Distributed Systems, Computer Engineering, Matlab, Python, Management, Problem Solving, Leadership, ATMega, GNS3, Wireshark, Raspberry Pi, Xilinx ISE, C++
Experience
GPU Architecture Engineer
NVIDIA
Computer Architect
NVIDIA
Research Assistant - CORGi@CMU
Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Debugged and verified the current implementation of Livia. Worked on adding microarchitectural features for the same.
Research Assistant - NCAL
Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Designed and implemented micro-architecture for functional building blocks of a novel class of SNNs in System Verilog. Developed a multi-layer architecture based on these blocks and performed bench-marking using the MNIST dataset. Analyzed hardware complexity of the architecture in terms of area, power and delay, and performed micro-architectural optimizations
Engineering Intern
Timesys is Now Lynx
Coimbatore Area, India
Education
Carnegie Mellon University
Electrical and Computer Engineering
Courses taken in Spring 2021: 10601 - Introduction to Machine Learning 15745 - Optimizing Compilers for Modern Architectures 18725 - Advanced Digital IC Design Courses taken in Fall 2020: 15618 - Parallel Computer Architecture 18740 - Modern Computer Architecture 18664 - ULSI Technology Status 18645 - How to write Fast Code Courses taken in Spring 2020: 18742 - Computer Architecture and Systems 18613 - Introduction to Computer Systems (aka 15213) 18847E - Neuromorphic Computer Architecture
Anirudh Krishna Villivalam's Contact Information
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