DataSci 211: Accelerating Research with Marlowe
Stanford Data Science launched DATASCI 211: Accelerating Research with Marlowe — Practical GPU Computing for Scientists, a 1-unit course offered in Autumn quarter 2025.
The course provides hands-on and conceptual grounding in high-performance GPU computing on Marlowe. Aimed at researchers from diverse disciplines, it introduces performance optimization strategies, resource scaling, and reproducibility best practices. Stanford and NVIDIA engineers lead specialized sessions on multi-GPU scaling and profiling.
Instructors: Marcelo Alvarez, Craig Kapfer, Balasubramanian Narasimhan, and Zoe Ryan.