Accelerating Research with Marlowe: Practical GPU Computing for Scientists
Seminar
Main Campus
Course Description
This 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 will lead specialized sessions on multi-GPU scaling and profiling using their ecosystem of tools.
DATASCI 211
Units: 1
See When It's Offered opens a new window opens in a new tab
Typically Offered
Not Available
Grading Basis
Satisfactory/No Credit
Class Level
Graduate
Instructional Mode
In Person
Gen Ed Requirement(s)
None