Christophe Gyurgyik (or simply, Chris) is a PhD candidate at Stanford University advised by Fred Kjolstad. His interests include programming language and compiler design.
Previously, he worked at Google on the XLA (Accelerated Linear Algebra) compiler and the TPU (Tensor Processing Unit). Prior to industry, his research focused on Calyx, a compiler infrastructure for languages that target hardware accelerators and CIRCT, an experimental compiler to improve hardware design tools. This work was completed under Cornell University’s CAPRA, spearheaded by Rachit Nigam and Adrian Sampson.
In his free time, Christophe enjoys climbing, reading, and surfing.
Received the NSF GRFP Comp/IS/Eng Honorable Mention.
Officially a PhD candidate.
Gave the (first ever!) talk to the Portal group on machine learning compiler techniques and tribulations.
Paper on Burrito, a compiler for a sparse array language that supports shape operators accepted to OOPSLA ’24.