Alexander J. Root
PhD Student Department of Computer Science Stanford University Office: 464 Gates Curriculum Vitae Google Scholar Github |
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I am a Stanford CS PhD student advised by Fredrik Kjolstad, currently working on sparse data reorganization. My research interests broadly include domain-specific languages, compilers, and architectures for high-performance numerical computing, with an emphasis on visual computing applications. I am generously supported by the NSF GFRP and a Stanford School of Engineering fellowship.
I graduated with my bachelor’s (‘21) and master’s (‘22) from MIT, working under Jonathan Ragan-Kelley and Andrew Adams, where I worked on vector instruction selection, fixed-point computation, and bounds inference. I also interned with Andrew, Shoaib Kamil, and Maaz Bin Safeer Ahmad at Adobe Research in the summers of 2021 and 2022, on the same topics. Part of my undergraduate work on fixed-point computation was advised by Frédo Durand.
Much of my pre-PhD research was applied to the Halide compiler, and I remain somewhat active in the language’s development.
Publications
Fast Instruction Selection for Fast Digital Signal Processing Alexander J. Root, Maaz Bin Safeer Ahmad, Andrew Adams, Dillon Sharlet, Shoaib Kamil, and Jonathan Ragan-Kelley (to appear in) International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), April 2024 |
Vector Instruction Selection for Digital Signal Processors Using Program Synthesis Maaz Bin Safeer Ahmad, Alexander J. Root, Andrew Adams, Shoaib Kamil, and Alvin Cheung International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2022 |
Teaching
CS 343D: Domain-Specific Programming Models and Compilers Course Assistant (CA) Winter 2023, Stanford University |
6.818: Dynamic Computer Language Engineering Teaching Assistant (TA) Fall 2021, MIT |
6.006: Introduction to Algorithms Teaching Assistant (TA) Spring 2020, MIT |
6.006: Introduction to Algorithms Teaching Assistant (TA) Spring 2019, MIT |
MEET Computer Science Instructor January 2019, MIT MEET (Global Teaching Labs) |